{"type":"survey","doc_desc":{"title":"General Household Survey","idno":"DDI_NGA_2009_GHS_v01_M_v02_A_IPUMS","producers":[{"name":"Minnesota Population Center","abbreviation":"MPC","affiliation":"University of Minnesota","role":"Integration Harmonization Documentation"}],"prod_date":"2016-04-25","version_statement":{"version":"- v6.4 April 2016\nDocumentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.\n\nThe intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.\n        \nFields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.\n\nPrevious version documented in the World Bank Microdata Library:\n- v6.3 (August 2014)"}},"study_desc":{"title_statement":{"idno":"NGA_2009_GHS_v01_M_v02_A_IPUMS","title":"General Household Survey 2009 - IPUMS Subset","alt_title":"GHS 2009 (IPUMS Harmonized Subset)"},"authoring_entity":[{"name":"National Bureau of Statistics","affiliation":""},{"name":"Minnesota Population Center","affiliation":"University of Minnesota"}],"production_statement":{"producers":[{"name":"Minnesota Population Center","affiliation":"University of Minnesota","role":"Harmonization of datasets"}],"copyright":"(c) Copyright 2009, National Bureau of Statistics and Minnesota Population Center"},"distribution_statement":{"contact":[{"name":"National Bureau of Statistics","affiliation":"","email":"","uri":""}]},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen]"},"version_statement":{"version":"Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.\n\nIn v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https:\/\/international.ipums.org\/international\/geography_variables.shtml'>here<\/a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https:\/\/international.ipums.org\/international\/resources\/misc_docs\/renamed_variables_sept2015.pdf'>here<\/a>. Geography variable also underwent wholesale renaming.\n\nIn this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.","version_date":"2016-04-25","version_notes":"In this version, geographic variables are significantly revised. IPUMS has developed subnational geographies for each country that are consistent over time and have associated GIS shape files. To distinguish the harmonized and unharmonized geographic variables, which will ultimately be available at the first and second administrative levels for most countries, a new, more systematic variable-naming convention have been imposed. The available geographic variables and their old and new names are described <a href='https:\/\/international.ipums.org\/international\/geography_variables.shtml'>here<\/a>. Further explanation of the new geographic variables and the GIS boundary files is available <a href='https:\/\/international.ipums.org\/international\/geography_gis.shtml'>here<\/a>."},"study_info":{"topics":[{"topic":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Other Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Geography: M-Z Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Ethnicity and Language Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Other Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Income Variables -- PERSON","vocab":"IPUMS","uri":""}],"abstract":"IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.\n\nThe IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.","time_periods":[{"start":"2009-07-01","end":"2010-06-30","cycle":""}],"coll_dates":[{"start":"2010-03-31","end":"2010-04-19","cycle":""}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"National coverage","geog_unit":"State","analysis_unit":"Households and persons\n\nUNITS IDENTIFIED:\n- Dwellings: No\n- Vacant units: No\n- Households: Yes\n- Individuals: Yes\n- Group quarters: No\n- Special populations: No\n\nUNIT DESCRIPTIONS:\n- Households: A household consists of a person or a group of persons living together under the same roof or in the same building\/compound, who eat from the same pot and recognize themselves as a unit.\n- Group quarters: A housing unit occupied largely by persons not related by blood.  Examples include school hostels where children from different parents live during the school session, hotels where travelers and holidaymakers or people on business stay for a short period of time.  Institutional housing units usually contain more rooms than residential buildings.","data_kind":"Census\/enumeration data [cen]","notes":"UNITS IDENTIFIED:\n- Dwellings: No\n- Vacant units: No\n- Households: Yes\n- Individuals: Yes\n- Group quarters: No\n- Special populations: No\n\nUNIT DESCRIPTIONS:\n- Households: A household consists of a person or a group of persons living together under the same roof or in the same building\/compound, who eat from the same pot and recognize themselves as a unit.\n- Group quarters: A housing unit occupied largely by persons not related by blood.  Examples include school hostels where children from different parents live during the school session, hotels where travelers and holidaymakers or people on business stay for a short period of time.  Institutional housing units usually contain more rooms than residential buildings.","study_scope":"UNITS IDENTIFIED:\n- Dwellings: No\n- Vacant units: No\n- Households: Yes\n- Individuals: Yes\n- Group quarters: No\n- Special populations: No\n\nUNIT DESCRIPTIONS:\n- Households: A household consists of a person or a group of persons living together under the same roof or in the same building\/compound, who eat from the same pot and recognize themselves as a unit.\n- Group quarters: A housing unit occupied largely by persons not related by blood.  Examples include school hostels where children from different parents live during the school session, hotels where travelers and holidaymakers or people on business stay for a short period of time.  Institutional housing units usually contain more rooms than residential buildings."},"method":{"data_collection":{"sampling_procedure":"MICRODATA SOURCE: National Bureau of Statistics\n\nSAMPLE DESIGN: The sample followed a two-stage, replicated and rotable design in which enumeration areas (EAs) demarcated for the 1991 Population Census served as the primary sampling units and households as the secondary sampling units. Thirty EAs per state were randomly selected.  In each EA, 15 households were selected randomly from a list of all households in the EA.  In total,  450 hhs where selected for interview per state.  Total, 16650 households from 1,110 EAs were selected for interview.  The selected EAs were distributed across urban and rural areas.\n\nSAMPLE UNIT: Enumeration area and household\n\nSAMPLE FRACTION: 0.1%\n\nSAMPLE SIZE (person records): 77,896","coll_mode":"Face-to-face [f2f]","research_instrument":"A single form with eleven sections: A) Housing unit identification and conditions, B)Persons present in the household, C) Usual resident absent, D) Contraceptive prevalence, E) Births in the last 12 months, F) National programme on immunization, G) Child nutrition, H) Deaths in the last 12 months, I) Health, J) Householkd enterprises, and K) Household expenditure.","coll_situation":"FIELD WORK PERIOD: March 31, 2010 to April 19, 2010","weight":"Weights computed by statistical agency should be used for most types of analysis."}},"data_access":{"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":"","uri":""}],"contact":[{"name":"IPUMS International","affiliation":"Minnesota Population Center","email":"","uri":"http:\/\/international.ipums.org"}],"cit_req":"Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [dataset]. Minneapolis: University of Minnesota, 2015. http:\/\/doi.org\/10.18128\/D020.V6.4.\n\nResearchers should also acknowledge the statistical agency that originally produced the data:\nNigeria, National Bureau of Statistics, General Household Survey\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."}}},"data_files":[{"file_id":"F1","file_name":"NGA2009-H-H","description":"Household records","case_count":"0","var_count":"79","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"NGA2009-P-H","description":"Person records","case_count":"0","var_count":"101","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"RECTYPE","file_id":"F1","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"1","var_width":"1","var_rec_seg_no":"1","labl":"Record type","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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_codeinstr":"RECTYPE is a 1-digit alphabetic (non-numeric) variable.\n\n\t\t\nH = Household record\nP = Person record","var_concept":[{"name":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"YEAR","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"5","var_end_pos":"8","var_width":"4","var_rec_seg_no":"1","labl":"Year","var_val_range":[{"units":"REAL","min":"1960","max":"2011"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"YEAR gives the year in which the census was taken.","var_catgry":[{"value":"1960","labl":"1960","stats":null,"type":null},{"value":"1962","labl":"1962","stats":null,"type":null},{"value":"1963","labl":"1963","stats":null,"type":null},{"value":"1964","labl":"1964","stats":null,"type":null},{"value":"1966","labl":"1966","stats":null,"type":null},{"value":"1968","labl":"1968","stats":null,"type":null},{"value":"1969","labl":"1969","stats":null,"type":null},{"value":"1970","labl":"1970","stats":null,"type":null},{"value":"1971","labl":"1971","stats":null,"type":null},{"value":"1972","labl":"1972","stats":null,"type":null},{"value":"1973","labl":"1973","stats":null,"type":null},{"value":"1974","labl":"1974","stats":null,"type":null},{"value":"1975","labl":"1975","stats":null,"type":null},{"value":"1976","labl":"1976","stats":null,"type":null},{"value":"1977","labl":"1977","stats":null,"type":null},{"value":"1979","labl":"1979","stats":null,"type":null},{"value":"1980","labl":"1980","stats":null,"type":null},{"value":"1981","labl":"1981","stats":null,"type":null},{"value":"1982","labl":"1982","stats":null,"type":null},{"value":"1983","labl":"1983","stats":null,"type":null},{"value":"1984","labl":"1984","stats":null,"type":null},{"value":"1985","labl":"1985","stats":null,"type":null},{"value":"1986","labl":"1986","stats":null,"type":null},{"value":"1987","labl":"1987","stats":null,"type":null},{"value":"1989","labl":"1989","stats":null,"type":null},{"value":"1990","labl":"1990","stats":null,"type":null},{"value":"1991","labl":"1991","stats":null,"type":null},{"value":"1992","labl":"1992","stats":null,"type":null},{"value":"1993","labl":"1993","stats":null,"type":null},{"value":"1994","labl":"1994","stats":null,"type":null},{"value":"1995","labl":"1995","stats":null,"type":null},{"value":"1996","labl":"1996","stats":null,"type":null},{"value":"1997","labl":"1997","stats":null,"type":null},{"value":"1998","labl":"1998","stats":null,"type":null},{"value":"1999","labl":"1999","stats":null,"type":null},{"value":"2000","labl":"2000","stats":null,"type":null},{"value":"2001","labl":"2001","stats":null,"type":null},{"value":"2002","labl":"2002","stats":null,"type":null},{"value":"2003","labl":"2003","stats":null,"type":null},{"value":"2004","labl":"2004","stats":null,"type":null},{"value":"2005","labl":"2005","stats":null,"type":null},{"value":"2006","labl":"2006","stats":null,"type":null},{"value":"2007","labl":"2007","stats":null,"type":null},{"value":"2008","labl":"2008","stats":null,"type":null},{"value":"2009","labl":"2009","stats":null,"type":null},{"value":"2010","labl":"2010","stats":null,"type":null},{"value":"2011","labl":"2011","stats":null,"type":null}],"var_concept":[{"name":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"SAMPLE","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"9","var_end_pos":"17","var_width":"9","var_rec_seg_no":"1","labl":"IPUMS sample identifier","var_val_range":[{"units":"REAL","min":"32197001","max":"894201001"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"SAMPLE identifies the IPUMS sample from which the case is drawn.  Each sample receives a unique 9-digit code.  The code is structured as follows:\n\n\nThe first 3 digits are the ISO\/UN codes used in COUNTRY\n\n\n\nThe next 4 digits are the year of the census\/survey\n\n\n\nThe 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).","var_catgry":[{"value":"32197001","labl":"Argentina 1970","stats":null,"type":null},{"value":"32199101","labl":"Argentina 1991","stats":null,"type":null},{"value":"32200101","labl":"Argentina 2001","stats":null,"type":null},{"value":"32201001","labl":"Argentina 2010","stats":null,"type":null},{"value":"32219801","labl":"Argentina 1980","stats":null,"type":null},{"value":"40197101","labl":"Austria 1971","stats":null,"type":null},{"value":"40198101","labl":"Austria 1981","stats":null,"type":null},{"value":"40199101","labl":"Austria 1991","stats":null,"type":null},{"value":"40200101","labl":"Austria 2001","stats":null,"type":null},{"value":"40201101","labl":"Austria 2011","stats":null,"type":null},{"value":"50199101","labl":"Bangladesh 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ZONENG is harmonized by name and does not account for boundary changes over time.\n\nThe full set of geography variables for Nigeria can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.","var_catgry":[{"value":"1","labl":"North Central","stats":null,"type":null},{"value":"2","labl":"North East","stats":null,"type":null},{"value":"3","labl":"North West","stats":null,"type":null},{"value":"4","labl":"South East","stats":null,"type":null},{"value":"5","labl":"South South","stats":null,"type":null},{"value":"6","labl":"South West","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Geography: M-Z Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V17","name":"URBAN","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Urban-rural status","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"URBAN indicates whether the household was located in a place designated as urban or as rural.","var_catgry":[{"value":"1","labl":"Rural","stats":null,"type":null},{"value":"2","labl":"Urban","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V18","name":"SEWAGE","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"67","var_end_pos":"68","var_width":"2","var_rec_seg_no":"1","labl":"Sewage","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"SEWAGE indicates whether the household has access to a sewage system or septic tank.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"10","labl":"Connected to sewage system or septic 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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 her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.  \n\nNFAMS 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.","var_catgry":[{"value":"0","labl":"Vacant household","stats":null,"type":null},{"value":"1","labl":"1 family","stats":null,"type":null},{"value":"2","labl":"2 families","stats":null,"type":null},{"value":"3","labl":"3 families","stats":null,"type":null},{"value":"4","labl":"4 families","stats":null,"type":null},{"value":"5","labl":"5 families","stats":null,"type":null},{"value":"6","labl":"6 families","stats":null,"type":null},{"value":"7","labl":"7 families","stats":null,"type":null},{"value":"8","labl":"8 families","stats":null,"type":null},{"value":"9","labl":"9 or more families","stats":null,"type":null}],"var_concept":[{"name":"Constructed Household Variables -- 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Censuses will often exclude group quarters from such questions.","var_catgry":[{"value":"0","labl":"Vacant","stats":null,"type":null},{"value":"10","labl":"Households","stats":null,"type":null},{"value":"20","labl":"Group quarters, n.s.","stats":null,"type":null},{"value":"21","labl":"Institutions","stats":null,"type":null},{"value":"22","labl":"Other group quarters","stats":null,"type":null},{"value":"29","labl":"1-person unit created by splitting large household","stats":null,"type":null},{"value":"99","labl":"Unknown\/group quarters not identified","stats":null,"type":null}],"var_concept":[{"name":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V26","name":"SUBSAMP","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"40","var_width":"2","var_rec_seg_no":"1","labl":"Subsample number","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.","var_catgry":[{"value":"0","labl":"1st 1% subsample","stats":null,"type":null},{"value":"1","labl":"2nd 1% subsample","stats":null,"type":null},{"value":"2","labl":"3rd 1% subsample","stats":null,"type":null},{"value":"3","labl":"4th 1% subsample","stats":null,"type":null},{"value":"4","labl":"5th 1% subsample","stats":null,"type":null},{"value":"5","labl":"6th 1% subsample","stats":null,"type":null},{"value":"6","labl":"7th 1% subsample","stats":null,"type":null},{"value":"7","labl":"8th 1% subsample","stats":null,"type":null},{"value":"8","labl":"9th 1% subsample","stats":null,"type":null},{"value":"9","labl":"10th 1% subsample","stats":null,"type":null},{"value":"10","labl":"11th 1% subsample","stats":null,"type":null},{"value":"11","labl":"12th 1% subsample","stats":null,"type":null},{"value":"12","labl":"13th 1% subsample","stats":null,"type":null},{"value":"13","labl":"14th 1% 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Response status\n\n[] 1 Completed\n[] 2 Partly completed\n[] 3 Not at home\n[] 4 Refused\n[] 5 Household not located\n[] 6 Moved away\n[] 7 Other (specify)","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the response status.","var_catgry":[{"value":"1","labl":"Completed","stats":null,"type":null},{"value":"2","labl":"Partly completed","stats":null,"type":null}],"var_concept":[{"name":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V38","name":"NG2009A_0035","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"121","var_end_pos":"122","var_width":"2","var_rec_seg_no":"1","labl":"Main water source","var_qstn_qstnlit":"12. Major source of water for drinking and cooking\n\n[] 1 Pipe borne water treated\n[] 2 Pipe borne water untreated\n[] 3 Bore hole\/hand pump\n[] 4 Well\/spring protected\n[] 5 Well\/spring unprotected\n[] 6 Rain water\n[] 7 Streams\/pond\/river\n[] 8 Tanker\/truck\/vendor\n[] 9 Other ____","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the household's main source of water for drinking and cooking.","var_catgry":[{"value":"1","labl":"Pipe borne water treated","stats":null,"type":null},{"value":"2","labl":"Pipe borne water untreated","stats":null,"type":null},{"value":"3","labl":"Borehole hand pump","stats":null,"type":null},{"value":"4","labl":"Protected well or spring","stats":null,"type":null},{"value":"5","labl":"Unprotected well or spring","stats":null,"type":null},{"value":"6","labl":"Rain water","stats":null,"type":null},{"value":"7","labl":"Stream, pond, or river","stats":null,"type":null},{"value":"8","labl":"Tanker, truck, or vendor","stats":null,"type":null},{"value":"9","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V39","name":"NG2009A_0036","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"123","var_end_pos":"123","var_width":"1","var_rec_seg_no":"1","labl":"Distance to water source","var_qstn_qstnlit":"13. Distance to source of water\n\n[] 1 In dwelling\n[] 2 Within 500m\n[] 3 500m-1km\n[] 4 1km or more","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the distance between the dwelling and the main source of water for drinking and cooking.","var_catgry":[{"value":"1","labl":"Inside dwelling","stats":null,"type":null},{"value":"2","labl":"Less than 500 meters","stats":null,"type":null},{"value":"3","labl":"Between 500 meters and 1 kilometer","stats":null,"type":null},{"value":"4","labl":"1 kilometer or more","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V40","name":"NG2009A_0037","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"124","var_end_pos":"124","var_width":"1","var_rec_seg_no":"1","labl":"Type of housing unit","var_qstn_qstnlit":"14. Type of housing unit\n\n[] 1 Single room\n[] 2 Flat\n[] 3 Duplex\n[] 4 Whole building\n[] 5 Other ____","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the type of housing unit.","var_catgry":[{"value":"1","labl":"Single room","stats":null,"type":null},{"value":"2","labl":"Flat","stats":null,"type":null},{"value":"3","labl":"Duplex","stats":null,"type":null},{"value":"4","labl":"Whole building","stats":null,"type":null},{"value":"5","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V41","name":"NG2009A_0038","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"125","var_end_pos":"126","var_width":"2","var_rec_seg_no":"1","labl":"Number of living rooms","var_qstn_qstnlit":"15. Number of living rooms in housing unit _ _","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the number of living rooms available to the household.","var_catgry":[{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9","stats":null,"type":null},{"value":"10","labl":"10","stats":null,"type":null},{"value":"11","labl":"11","stats":null,"type":null},{"value":"12","labl":"12","stats":null,"type":null},{"value":"13","labl":"13","stats":null,"type":null},{"value":"14","labl":"14","stats":null,"type":null},{"value":"15","labl":"15","stats":null,"type":null},{"value":"16","labl":"16","stats":null,"type":null},{"value":"17","labl":"17","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V42","name":"NG2009A_0039","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"127","var_end_pos":"127","var_width":"1","var_rec_seg_no":"1","labl":"Tenure status","var_qstn_qstnlit":"16. Tenure\n\n[] 1 Normal rent\n[] 2 Free\n[] 3 Nominal\/subsidized rent\n[] 4 Owner occupier","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the housing tenure status of the household.","var_catgry":[{"value":"1","labl":"Normal rent","stats":null,"type":null},{"value":"2","labl":"Free","stats":null,"type":null},{"value":"3","labl":"Nominal or subsidized rent","stats":null,"type":null},{"value":"4","labl":"Owner occupied","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V43","name":"NG2009A_0040","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"128","var_end_pos":"135","var_width":"8","var_rec_seg_no":"1","labl":"Rent paid","var_qstn_qstnlit":"17. Monthly rent (in =N=) for housing unit: _ _ _ _ _ _","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the monthly rent in Nigerian Naira paid by the household.","var_codeinstr":"This is a 8-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V44","name":"NG2009A_0041","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"136","var_end_pos":"136","var_width":"1","var_rec_seg_no":"1","labl":"Floor material","var_qstn_qstnlit":"18. Material of dwelling floor:\n\n[] 1 Wood\/tile\n[] 2 Planks\/concrete\n[] 3 Dirt\/straw\/without concrete\n[] 4 Other ____","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the material of the floor of the dwelling.","var_catgry":[{"value":"1","labl":"Wood or tile","stats":null,"type":null},{"value":"2","labl":"Plank or concrete","stats":null,"type":null},{"value":"3","labl":"Dirt or straw without concrete","stats":null,"type":null},{"value":"4","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V45","name":"NG2009A_0042","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"137","var_end_pos":"138","var_width":"2","var_rec_seg_no":"1","labl":"Toilet facility","var_qstn_qstnlit":"19. Toilet facilities\n\n[] 1 None\n[] 2 Toilet on water\n[] 3 Flush to sewage\n[] 4 Flush to septic tank\n[] 5 Pail\/bucket\n[] 6 Covered pit latrine\n[] 7 Uncovered pit latrine\n[] 8 V.I.P. latrine\n[] 9 Other ____","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the type of toilet facility available to the household.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Toilet on water","stats":null,"type":null},{"value":"3","labl":"Flush to sewage","stats":null,"type":null},{"value":"4","labl":"Flush to septic tank","stats":null,"type":null},{"value":"5","labl":"Pail or bucket","stats":null,"type":null},{"value":"6","labl":"Covered pit latrine","stats":null,"type":null},{"value":"7","labl":"Uncovered pit latrine","stats":null,"type":null},{"value":"8","labl":"Ventilated improved pit (VIP) latrine","stats":null,"type":null},{"value":"9","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V46","name":"NG2009A_0043","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"139","var_end_pos":"139","var_width":"1","var_rec_seg_no":"1","labl":"Distance to toilet facility","var_qstn_qstnlit":"20. Distance of toilet facility from the dwelling:\n\n[] 1 In dwelling\n[] 2 Within 500m\n[] 3 500m-1km\n[] 4 1km or more","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the distance between the dwelling and the toilet facility.","var_catgry":[{"value":"1","labl":"Inside dwelling","stats":null,"type":null},{"value":"2","labl":"Less than 500 meters","stats":null,"type":null},{"value":"3","labl":"Between 500 meters and 1 kilometer","stats":null,"type":null},{"value":"4","labl":"1 kilometer or more","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V47","name":"NG2009A_0044","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"140","var_end_pos":"140","var_width":"1","var_rec_seg_no":"1","labl":"Refuse disposal","var_qstn_qstnlit":"21. Type of refusal disposal most often used:\n\n[] 1 HH bin collected by government\n[] 2 HH bin collected by private agency\n[] 3 Government bin or shed\n[] 4 Disposal within compound\n[] 5 Unauthorized refuse heap\n[] 6 Other ____","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the type of refuse disposal most often used by the household.","var_catgry":[{"value":"1","labl":"Household bin collected by government agency","stats":null,"type":null},{"value":"2","labl":"Household bin collected by private agency","stats":null,"type":null},{"value":"3","labl":"Government bin or shed","stats":null,"type":null},{"value":"4","labl":"Disposal within compound","stats":null,"type":null},{"value":"5","labl":"Unauthorized refuse heap","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V48","name":"NG2009A_0045","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"141","var_end_pos":"141","var_width":"1","var_rec_seg_no":"1","labl":"Cooking fuel","var_qstn_qstnlit":"22. Type of fuel used for cooking\n\n[] 1 Electricity\n[] 2 Gas\n[] 3 Kerosene\n[] 4 Wood\n[] 5 Coal","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the type of fuel used by the household for cooking.","var_catgry":[{"value":"1","labl":"Electricity","stats":null,"type":null},{"value":"2","labl":"Gas","stats":null,"type":null},{"value":"3","labl":"Kerosene","stats":null,"type":null},{"value":"4","labl":"Wood","stats":null,"type":null},{"value":"5","labl":"Coal","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V49","name":"NG2009A_0046","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"142","var_end_pos":"142","var_width":"1","var_rec_seg_no":"1","labl":"Electricity supply","var_qstn_qstnlit":"23. Electricity supply\n\n[] 1 PHCN (NEPA) only\n[] 2 IPP \/ rural electrification only\n[] 3 Private generator only\n[] 4 PHCN (NEPA) \/ generator\n[] 5 IPP \/ rural electricity \/ generator\n[] 6 Solar panels\n[] 7 None","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the household's source of electricity.","var_catgry":[{"value":"1","labl":"PHCN (NEPA) only","stats":null,"type":null},{"value":"2","labl":"IPP rural electrification only","stats":null,"type":null},{"value":"3","labl":"Private generator only","stats":null,"type":null},{"value":"4","labl":"PHCN (NEPA) generator","stats":null,"type":null},{"value":"5","labl":"IPP rural electrification generator","stats":null,"type":null},{"value":"6","labl":"Solar panels","stats":null,"type":null},{"value":"7","labl":"None","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V50","name":"NG2009A_0047","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"143","var_end_pos":"143","var_width":"1","var_rec_seg_no":"1","labl":"Weekly hours of electricity supply","var_qstn_qstnlit":"24. 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Do you have access to any of these information and technology (ICT) equipment?\n\n\nTelevision\n\n[] 1 Yes\n[] 2 No","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether or not the household has access to a television.","var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V59","name":"NG2009A_0056","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"152","var_end_pos":"152","var_width":"1","var_rec_seg_no":"1","labl":"Household has access to fixed telephone","var_qstn_qstnlit":"26. 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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. \n\nClass of worker is often referred to as \"status in employment\" in other sources.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Self-employed","stats":null,"type":null},{"value":"2","labl":"Wage\/salary worker","stats":null,"type":null},{"value":"3","labl":"Unpaid worker","stats":null,"type":null},{"value":"4","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Unknown\/missing","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V87","name":"CLASSWKD","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"116","var_end_pos":"118","var_width":"3","var_rec_seg_no":"1","labl":"Status in employment (class of worker) [detailed version]","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. \n\nClass of worker is often referred to as \"status in employment\" in other sources.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"100","labl":"Self-employed","stats":null,"type":null},{"value":"101","labl":"Self-employed, unincorporated","stats":null,"type":null},{"value":"102","labl":"Self-employed, incorporated","stats":null,"type":null},{"value":"110","labl":"Employer","stats":null,"type":null},{"value":"111","labl":"Sharecropper, employer","stats":null,"type":null},{"value":"120","labl":"Working on own account","stats":null,"type":null},{"value":"121","labl":"Own account, agriculture","stats":null,"type":null},{"value":"122","labl":"Domestic worker, self-employed","stats":null,"type":null},{"value":"123","labl":"Subsistence worker, own consumption","stats":null,"type":null},{"value":"124","labl":"Own account, 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MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.  \n\nThe method by which probable child-mother links are identified is described in PARRULE.\n\nThe general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA \"Family Interrelationships,\" but the details vary significantly.\n\nNote: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. 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POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.  \n\nThe method by which probable child-father links are identified is described in PARRULE.\n\nThe general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA \"Family Interrelationships,\" but the details vary significantly.\n\nNote: 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.","var_codeinstr":"POPLOC is a 3-digit numeric variable.\n\n\t\t\n0 = No father of this person present in the household.\n1 or higher = The person number of this person's father","var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V94","name":"SPLOC","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"45","var_end_pos":"47","var_width":"3","var_rec_seg_no":"1","labl":"Spouse's location in household","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse.  SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.  \n\nThe method by which probable spouse-spouse links are identified is described in SPRULE.\n\nThe general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA \"Family Interrelationships\", but the details vary significantly.","var_codeinstr":"SPLOC is a 3-digit numeric variable.\n\n\t\t\n0 = No spouse of this person present in the household.\n1 or higher = The person number of this person's spouse","var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V95","name":"PARRULE","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"48","var_end_pos":"49","var_width":"2","var_rec_seg_no":"1","labl":"Rule for linking parent","var_val_range":[{"units":"REAL","min":"0","max":"52"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and\/or father. \n\nIPUMS-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. 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Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. 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Attendance at formal school\n\n[] 1 Never\n[] 2 Now in school\n[] 3 Before but not now","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether or not the person is currently attending or has ever attended formal school.","var_catgry":[{"value":"1","labl":"Never","stats":null,"type":null},{"value":"2","labl":"Now in school","stats":null,"type":null},{"value":"3","labl":"Before but not now","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V126","name":"NG2009A_0407","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"139","var_end_pos":"140","var_width":"2","var_rec_seg_no":"1","labl":"Highest educational level","var_qstn_qstnlit":"8. Highest level reached\n\n[] 1 Below primary\n[] 2 Primary\n[] 3 JSS\n[] 4 Vocational\/Commercial\n[] 5 SSS\n[] 6 NCE\/OND\/Nursing\n[] 7 B.A.\/B.Sc.\/B.ED\/HND\n[] 8 M.Sc.\/M.A\/M.Adm.\n[] 9 Doctorate\n[] 10 Others (specify)","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons who ever attended school","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's highest educational level.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Below primary","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"JSS","stats":null,"type":null},{"value":"4","labl":"Vocational or commercial","stats":null,"type":null},{"value":"5","labl":"SSS","stats":null,"type":null},{"value":"6","labl":"NCE, OND, or nursing","stats":null,"type":null},{"value":"7","labl":"B.A, B.Sc., B.ED, or HND","stats":null,"type":null},{"value":"8","labl":"M.Sc., M.A., or M.Adm.","stats":null,"type":null},{"value":"9","labl":"Doctorate","stats":null,"type":null},{"value":"10","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V127","name":"NG2009A_0408","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"141","var_end_pos":"142","var_width":"2","var_rec_seg_no":"1","labl":"Highest grade completed","var_qstn_qstnlit":"9. Highest grade completed\n\nNursery\n\n\n[] 1 Pre-class\n[] 2 Nursery 1\n[] 3 Nursery 2\n\n\nPrimary\n\n\n[] 4 Primary 1\n[] 5 Primary 2\n[] 6 Primary 3\n[] 7 Primary 4\n[] 8 Primary 5\n[] 9 Primary 6\n\n\nSecondary\n\n\n[] 10 JSS 1\n[] 11 JSS 2\n[] 12 JSS 3\n[] 13 SSS 1\n[] 14 SSS 2\n[] 15 SSS 3\n\n\nPost-secondary\n\n\n[] 16 A\/L\/OD\n[] 17 BSC\/HD\n[] 18 P\/Grad\n[] 19 Others","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons who ever attended school","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's highest grade attained.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Pre-class","stats":null,"type":null},{"value":"2","labl":"Nursery 1","stats":null,"type":null},{"value":"3","labl":"Nursery 2","stats":null,"type":null},{"value":"4","labl":"Primary 1","stats":null,"type":null},{"value":"5","labl":"Primary 2","stats":null,"type":null},{"value":"6","labl":"Primary 3","stats":null,"type":null},{"value":"7","labl":"Primary 4","stats":null,"type":null},{"value":"8","labl":"Primary 5","stats":null,"type":null},{"value":"9","labl":"Primary 6","stats":null,"type":null},{"value":"10","labl":"JSS 1","stats":null,"type":null},{"value":"11","labl":"JSS 2","stats":null,"type":null},{"value":"12","labl":"JSS 3","stats":null,"type":null},{"value":"13","labl":"SSS 1","stats":null,"type":null},{"value":"14","labl":"SSS 2","stats":null,"type":null},{"value":"15","labl":"SSS 3","stats":null,"type":null},{"value":"16","labl":"A\/L\/OD","stats":null,"type":null},{"value":"17","labl":"BSc\/HND","stats":null,"type":null},{"value":"18","labl":"P\/Graduate","stats":null,"type":null},{"value":"19","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V128","name":"NG2009A_0409","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"143","var_end_pos":"143","var_width":"1","var_rec_seg_no":"1","labl":"Literacy in any language","var_qstn_qstnlit":"10a. Literacy in any language\n\n[] 1 Yes\n[] 2 No","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates if the person is literate in any language.","var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V129","name":"NG2009A_0410","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"144","var_end_pos":"144","var_width":"1","var_rec_seg_no":"1","labl":"Language of literacy","var_qstn_qstnlit":"10b. If yes in 10a, in which main language?\n\n[] 1 None\n[] 2 English\n[] 3 Hausa\n[] 4 Ibo\n[] 5 Yoruba\n[] 6 Others (specify) ____","var_val_range":[{"units":"REAL","min":"0","max":"6"}],"var_universe":"Literate persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's main language.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"English","stats":null,"type":null},{"value":"3","labl":"Hausa","stats":null,"type":null},{"value":"4","labl":"Ibo","stats":null,"type":null},{"value":"5","labl":"Yoruba","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V130","name":"NG2009A_0411","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"145","var_end_pos":"145","var_width":"1","var_rec_seg_no":"1","labl":"Main job previous week","var_qstn_qstnlit":"11. Main job previous week\n\n(If options 1-5 go to Col. 14, and if options 6 or 7 go to Col. 22)\n\n[] 1 Worked for pay\n[] 2 Got job but did not work\n[] 3 Worked for profit\n[] 4 On attachment but didn't work\n[] 5 Apprenticeship\n[] 6 Kept home\n[] 7 Went to school\n[] 8 Did nothing","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_universe":"Persons age 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's main job during the previous week.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Worked for pay","stats":null,"type":null},{"value":"2","labl":"Had job but did not work","stats":null,"type":null},{"value":"3","labl":"Worked for profit","stats":null,"type":null},{"value":"4","labl":"On attachment but did not work","stats":null,"type":null},{"value":"5","labl":"Apprenticeship","stats":null,"type":null},{"value":"6","labl":"Kept home","stats":null,"type":null},{"value":"7","labl":"Went to school","stats":null,"type":null},{"value":"8","labl":"Did nothing","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V131","name":"NG2009A_0412","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"146","var_end_pos":"146","var_width":"1","var_rec_seg_no":"1","labl":"Reason for doing nothing","var_qstn_qstnlit":"12. If person did nothing, what was the reason?\n\n(If options 6-8 go to col. 27)\n\n[] 1 Looked for job\n[] 2 Sick\n[] 3 Believed no job available\n[] 4 Laid off 30 days or less\n[] 5 Waiting to join work\n[] 6 Retired\n[] 7 Invalid\n[] 8 Others","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_universe":"Persons age 10+ that were doing nothing last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the reason the person did nothing during the previous week.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Looked for job","stats":null,"type":null},{"value":"2","labl":"Sick","stats":null,"type":null},{"value":"3","labl":"Believed no job available","stats":null,"type":null},{"value":"4","labl":"Laid off 30 days or less","stats":null,"type":null},{"value":"5","labl":"Waiting to join work","stats":null,"type":null},{"value":"6","labl":"Retired","stats":null,"type":null},{"value":"7","labl":"Invalid","stats":null,"type":null},{"value":"8","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V132","name":"NG2009A_0413","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"147","var_end_pos":"147","var_width":"1","var_rec_seg_no":"1","labl":"Length of unemployment","var_qstn_qstnlit":"13. Length of unemployment\n\n(From the last paid work)\n\n[] 1 Less than 1 month\n[] 2 Between 1 and 2 months\n[] 3 Between 2 and 3 months\n[] 4 Between 3 and 4 months\n[] 5 More than 4 months\n[] 6 Never had a paid work\n\nGo to Col. 27","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_universe":"Persons age 10+ that were doing nothing last week and are not retired or invalid","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the length of unemployment.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Less than one month","stats":null,"type":null},{"value":"2","labl":"Between 1 and 2 months","stats":null,"type":null},{"value":"3","labl":"Between 2 and 3 months","stats":null,"type":null},{"value":"4","labl":"Between 3 and 4 months","stats":null,"type":null},{"value":"5","labl":"More than 4 months","stats":null,"type":null},{"value":"6","labl":"Never had a paid job","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V133","name":"NG2009A_0414","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"148","var_end_pos":"148","var_width":"1","var_rec_seg_no":"1","labl":"Like to change job","var_qstn_qstnlit":"14. Do you like to change job?\n\n[] 1 Yes\n[] 2 No\n\nIf no to Col. 14 skip to Col. 16","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_universe":"Persons age 10+ with a job last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether or not the person wants to change his\/her job.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V134","name":"NG2009A_0415","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"149","var_end_pos":"150","var_width":"2","var_rec_seg_no":"1","labl":"Reason for wanting to change","var_qstn_qstnlit":"15. Reason for the change\n\n[] 1 Low income in present job\n[] 2 Job doesn't match skill\n[] 3 Job environment not congenial\n[] 4 Excessive hours of work\n[] 5 Precarious job(s)\n[] 6 Inadequate tools\n[] 7 Equipment or training for assigned task not available\n[] 8 Travel to work difficulties\n[] 9 Inconvenient work schedules\n[] 10 Recurring work stoppage","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons age 10+ with a job last week who want to change jobs","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's reason for wanting to change jobs.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Low income in present job","stats":null,"type":null},{"value":"2","labl":"Job does not match skill","stats":null,"type":null},{"value":"3","labl":"Job environment not congenial","stats":null,"type":null},{"value":"4","labl":"Excessive hours of work","stats":null,"type":null},{"value":"5","labl":"Precarious job(s)","stats":null,"type":null},{"value":"6","labl":"Inadequate tools","stats":null,"type":null},{"value":"7","labl":"Equipment or training for assigned task not available","stats":null,"type":null},{"value":"8","labl":"Travel to work difficulties","stats":null,"type":null},{"value":"9","labl":"Inconvenient work schedules","stats":null,"type":null},{"value":"10","labl":"Recurring work stoppage","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V135","name":"NG2009A_0416","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"151","var_end_pos":"153","var_width":"3","var_rec_seg_no":"1","labl":"Main occupation","var_qstn_qstnlit":"16. Primary or main occupation (annex I ISCO) _ _\n\nSee occupational codes on page 12","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_universe":"Persons age 10+ with a job last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's main occupation.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"11","labl":"Commissioned armed forces officers","stats":null,"type":null},{"value":"21","labl":"Non-commissioned armed forces officers","stats":null,"type":null},{"value":"31","labl":"Armed forces occupations, other ranks","stats":null,"type":null},{"value":"111","labl":"Legislator and senior officials","stats":null,"type":null},{"value":"112","labl":"Managing directors and chief executives","stats":null,"type":null},{"value":"121","labl":"Business services and administration managers","stats":null,"type":null},{"value":"122","labl":"Sales, marketing and development managers","stats":null,"type":null},{"value":"131","labl":"Production managers in agriculture, forestry and fisheries","stats":null,"type":null},{"value":"132","labl":"Manufacturing, mining, construction and distribution manager","stats":null,"type":null},{"value":"133","labl":"Information and communications technology service managers","stats":null,"type":null},{"value":"134","labl":"Professional service managers","stats":null,"type":null},{"value":"141","labl":"Hotel and restaurant managers","stats":null,"type":null},{"value":"142","labl":"Retail and wholesale trade managers","stats":null,"type":null},{"value":"143","labl":"Other services managers","stats":null,"type":null},{"value":"211","labl":"Physical and earth science professionals","stats":null,"type":null},{"value":"212","labl":"Mathematicians, actuaries, (excluding electrotechnology)","stats":null,"type":null},{"value":"213","labl":"Life science professionals","stats":null,"type":null},{"value":"214","labl":"Engineering professionals (excluding electrotecnology)","stats":null,"type":null},{"value":"215","labl":"Electrotechnology engineers","stats":null,"type":null},{"value":"216","labl":"Architects, planners, surveyors and designers","stats":null,"type":null},{"value":"221","labl":"Medical doctors","stats":null,"type":null},{"value":"222","labl":"Nursing and midwifery professionals","stats":null,"type":null},{"value":"223","labl":"Traditional and complimentary medicine professionals","stats":null,"type":null},{"value":"224","labl":"Paramedical practitioners","stats":null,"type":null},{"value":"225","labl":"Veterinarians","stats":null,"type":null},{"value":"226","labl":"Other health professionals","stats":null,"type":null},{"value":"231","labl":"University and higher education teachers","stats":null,"type":null},{"value":"232","labl":"Vocational education teachers","stats":null,"type":null},{"value":"233","labl":"Secondary education teachers","stats":null,"type":null},{"value":"234","labl":"Primary school and early childhood teachers","stats":null,"type":null},{"value":"235","labl":"Other teaching professionals","stats":null,"type":null},{"value":"241","labl":"Finance professionals","stats":null,"type":null},{"value":"242","labl":"Administration professionals","stats":null,"type":null},{"value":"243","labl":"Sales, marketing and public relations professionals","stats":null,"type":null},{"value":"251","labl":"Software and applications developers and analysis","stats":null,"type":null},{"value":"252","labl":"Database and network professionals","stats":null,"type":null},{"value":"261","labl":"Legal professionals","stats":null,"type":null},{"value":"262","labl":"Librarians, archivists and curators","stats":null,"type":null},{"value":"263","labl":"Social and religious professionals","stats":null,"type":null},{"value":"264","labl":"Authors, journalists and linguists","stats":null,"type":null},{"value":"265","labl":"Creative and performing artists","stats":null,"type":null},{"value":"311","labl":"Physical and engineering science technicians","stats":null,"type":null},{"value":"312","labl":"Mining, manufacturing and construction supervisors","stats":null,"type":null},{"value":"313","labl":"Process control technicians","stats":null,"type":null},{"value":"314","labl":"Life science technicians and related associate professionals","stats":null,"type":null},{"value":"315","labl":"Ship and aircraft controllers and technicians","stats":null,"type":null},{"value":"321","labl":"Medical and pharmaceutical technicians","stats":null,"type":null},{"value":"322","labl":"Nursing and midwifery associate professionals","stats":null,"type":null},{"value":"323","labl":"Traditional and complimentary medicine associate professional","stats":null,"type":null},{"value":"324","labl":"Veterinary technicians and assistants","stats":null,"type":null},{"value":"325","labl":"Other health associate professionals","stats":null,"type":null},{"value":"331","labl":"Finance and mathematical associate professionals","stats":null,"type":null},{"value":"332","labl":"Sales and purchasing agents and brokers","stats":null,"type":null},{"value":"333","labl":"Business service agents","stats":null,"type":null},{"value":"334","labl":"Administrative and specialized secretaries","stats":null,"type":null},{"value":"335","labl":"Regulatory government associate professionals","stats":null,"type":null},{"value":"341","labl":"Legal, social and religious associate professionals","stats":null,"type":null},{"value":"342","labl":"Sports and fitness workers","stats":null,"type":null},{"value":"343","labl":"Artistic, cultural and culinary associate professional","stats":null,"type":null},{"value":"351","labl":"Information and communications, tech operations and user support technicians","stats":null,"type":null},{"value":"352","labl":"Telecommunications and broadcasting technicians","stats":null,"type":null},{"value":"411","labl":"General office clerks","stats":null,"type":null},{"value":"412","labl":"Secretaries (general)","stats":null,"type":null},{"value":"413","labl":"Keyboard operators","stats":null,"type":null},{"value":"421","labl":"Tellers, money collectors and related clerks","stats":null,"type":null},{"value":"422","labl":"Client information workers","stats":null,"type":null},{"value":"431","labl":"Numerical clerks","stats":null,"type":null},{"value":"432","labl":"Material-recording and transport clerks","stats":null,"type":null},{"value":"441","labl":"Other clerical support workers","stats":null,"type":null},{"value":"511","labl":"Travel attendants, conductors and guides","stats":null,"type":null},{"value":"512","labl":"Cooks","stats":null,"type":null},{"value":"513","labl":"Waiters and 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See the household version of the variable.]","var_codeinstr":"This is a 9-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V178","name":"SERIAL","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"18","var_end_pos":"27","var_width":"10","var_rec_seg_no":"1","labl":"Household serial number [person version]","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"[This file is just a placeholder. 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