{"type":"survey","doc_desc":{"title":"Socio Economic Survey, General  Household -2009","idno":"DDI_NGA_2009_GHS_v01_M","producers":[{"name":"National Bureau of Statistics","abbreviation":"NBS","affiliation":"Federal Government of Nigeria (FGN)","role":" Metadata Producer"}],"prod_date":"2012-02-08","version_statement":{"version":"Version 1.0 (February, 2012)\nVersion 1.1 (July 2012) DDI and ID number fields edited for World Bank Microdata Library"}},"study_desc":{"title_statement":{"idno":"NGA_2009_GHS_v01_M","title":"General  Household Survey 2009","sub_title":"Fifth Round","alt_title":"GHS 2009","translated_title":"No translation"},"authoring_entity":[{"name":"National Bureau of Statistics  (NBS)","affiliation":"Federal Government of Nigeria (FGN)"}],"oth_id":[{"name":"Nigerian Commnications Commision","affiliation":"NCC","email":"","role":"Collaborating"}],"production_statement":{"producers":[{"name":"Central Bank of Nigeria","affiliation":"FGN","role":"Collaboration"},{"name":"Nigerian Communication Commission","affiliation":"FGN","role":"Collaboration"}],"copyright":"\u00a9 NBS 2012","funding_agencies":[{"name":"National Bureau of Statistics","abbreviation":"NBS","role":"Funding"},{"name":"Central  Bank of Nigeria","abbreviation":"CBN","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"National Bureau of Statistics (NBS)","affiliation":"Fedral Government of Nigeria (FGN)","email":"feedback@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Dr Yemi Kale","affiliation":"Statistician General","email":"sgnbsk@gmail.com","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr N.G. Oparaku","affiliation":"Head of Real Sector and Household Statistics Department","email":"ngoparaku@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr E.O. Ekezie","affiliation":"Head of  Information and Comnucation Technology Department","email":"eekezie@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr E .I. Fafunmi","affiliation":"Data Access","email":"biyifafunmi@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr R.F. Busari","affiliation":"Head (Systems Programming)","email":"rfbusari@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mrs A. A. Akinsanya","affiliation":"Data Archivist","email":"paakinsanya@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"World Bank Microdata Library","affiliation":"World Bank Data Group","email":"microdatalib@worldbank.org","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The National Bureau of Statistics (NBS) in collaboration with the Central Bank of Nigeria (CBN) and the Nigeria Communication Commission (NCC) in 2010 conducted a survey on the socio-economic activities in Nigeria for the year 2009. There is a long history of synergy in statistical project between NBS (formerly FOS) and CBN. It started with the computation of Annual Gross Domestic Product (GDP), the Consumer Price Index (CPI) and Survey of Informal Sector in Nigeria. \n\nThe National Agricultural Exportable Crops Survey was conducted by both organisations in the years 2004, 2005, 2006, 2007 and 2008. The collaborative survey on Socio-economic activities in Nigeria between NBS and CBN started in 2004, and continued till 2007 when the National Communication Commission (NCC) joined. The collaboration continued in 2008 and 2009 till the current year 2010 in which the survey is conducted for the 2009 socio-economic activities."},"version_statement":{"version":"Version 1.0 (February, 2012)","version_date":"2010-07-14","version_notes":"Version 1.0 (February, 2012)  Data used to generate the tables and the report\n\nPart D Female Contraceptive Prevelance was not related to the other part because the id was missing during printing of the questionnaire"},"study_info":{"topics":[{"topic":"economic conditions and indicators [1.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"economic policy [1.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"income, property and investment\/saving [1.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"rural economics [1.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"agricultural, forestry and rural industry [2.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"business\/industrial management and organisation [2.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"employment [3.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"labour relations\/conflict [3.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"retirement [3.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"unemployment [3.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"working conditions [3.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"basic skills education [6.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"compulsory and pre-school education [6.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"vocational education [6.7]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"childbearing, family planning and abortion [8.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"general health [8.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"natural resources and energy [9.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"children [12.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"family life and marriage [12.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"gender and gender roles [12.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"social and occupational mobility [12.8]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"community, urban and rural life [13.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"specific social services: use and provision [15.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"information technology [16.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The General Household Survey is a brainchild of the National Bureau of Statistics (NBS) and is often referred to as Regular survey carried out on quarterly basis by the NBS over the years. In recent times, starting from 2004 to be precise, there is a collaborative effort between the NBS and the CBN in 2004 and 2005 and in 2006, 2007and 2008, the collaboration incorporated Nigerian Communications commission (NCC). \n\nThe purpose of the surveys or collaboration include among others:\n(i)\tTo conduct multipurpose surveys to generate social and economic data series for 2009 and the first quarter of 2010 \n\n(ii)\tTo enable NBS\/CBN\/NCC fulfil their mandate in production of current and credible statistics to monitor and evaluate the State of the economy and the various government programmes such as NEEDS, MDGs and 7 Point Agenda.        \n\nThe key objectives of the survey include:\n\ni)\tCollection of relevant statistics to facilitate the production of GDP\n\nii)\tProduction of data to aid economic analysis on non-oil outputs such as Manufacturing, Agriculture and Services\n\niii)\tProduction of State and Local Government Finance Statistics, Producer Price Index (PPI), Oil Sector Statistics and Flow of Funds\n\nCollection of current socio-economic statistics in Nigeria to assist in policy formulation and aid the monitoring and evaluation of various government programmes at National and sub-national levels","time_periods":[{"start":"2009","end":"2010","cycle":"1yr"}],"coll_dates":[{"start":"2010-03-31","end":"2010-04-19","cycle":"26 days"}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"National Zone State Local Government","geog_unit":"State","analysis_unit":"Household Analysis","universe":"Household","data_kind":"Sample survey data [ssd]","notes":"The Socio Economic Survey, General  Household -2009 includes:\n\nPart A:    Identification code, Response status, Housing characteristics\/amenities and Information communication Technology (ICT).\nPart B:\tSocio-demographic characteristics and Labour force characteristics\nPart C:\tInformation about the people in the household who were absent during the period of the survey.\nPart D:\tFemale contraceptive only, and children ever born by mothers aged 15 years and above\nPart E:\tBirths of children in the last 12 months, and trained birth attendant used during child delivery.\nPar  F:\tImmunization of children aged 1 year or less and records of their vaccination\nPart G:\tChild nutrition, exclusive breast feeding and length of breast feeding.\nPart H:\tDeaths in the last 12 months, and causes of such deaths.\nPart I:\tHealth of all members, of the household and health care providers.\nPart J:\tHousehold enterprises, income and profit made from such activities.\nPart K:\tHousehold expenditure, such as school fees, medical expenses, housing expenses, remittance, clothing expenses, transport expenses and food expenses.","study_scope":"The Socio Economic Survey, General  Household -2009 includes:\n\nPart A:    Identification code, Response status, Housing characteristics\/amenities and Information communication Technology (ICT).\nPart B:\tSocio-demographic characteristics and Labour force characteristics\nPart C:\tInformation about the people in the household who were absent during the period of the survey.\nPart D:\tFemale contraceptive only, and children ever born by mothers aged 15 years and above\nPart E:\tBirths of children in the last 12 months, and trained birth attendant used during child delivery.\nPar  F:\tImmunization of children aged 1 year or less and records of their vaccination\nPart G:\tChild nutrition, exclusive breast feeding and length of breast feeding.\nPart H:\tDeaths in the last 12 months, and causes of such deaths.\nPart I:\tHealth of all members, of the household and health care providers.\nPart J:\tHousehold enterprises, income and profit made from such activities.\nPart K:\tHousehold expenditure, such as school fees, medical expenses, housing expenses, remittance, clothing expenses, transport expenses and food expenses."},"method":{"data_collection":{"data_collectors":[{"name":"National Bureau of Statistics","abbreviation":"NBS","affiliation":"Federal Government of Nigeria (FGN)"}],"sampling_procedure":"The General Household Survey and the National Agricultural Sample Survey designs derived from NBS 2007\/12 NISH sample design. \nThe 2007\/12 NISH sample design is a 2-stage, replicated and rotated cluster sample design with Enumeration Areas (EAs) as first stage sampling units or Primary Sampling Units (PSUs) while Households constituted the second stage units (secondary sampling units).  The households were the Ultimate Sampling Units for the multi-subject survey.\n\nGenerally, the NISH Master Sample in each State is made up of 200 EAs drawn in 20 replicates.  A replicate consists of 10 EAs. Replicates 10-15, subsets of the Master Sample were studied for modules of the NISH.\n\nThe GHS was implemented as a NISH module.  three replicates were studied per State including the FCT, Abuja.  With a fixed-take of 15 HHs systematically selected per EA, 450 HHs thus were selected for interview per State including the FCT, Abuja. Hence, nationally, a total of 16,650 HHs were drawn from the 1,110 EAs selected for interview for the GHS.  The selected EAs (and hence the HHs) cut across the rural and urban sectors.","sampling_deviation":"Variance Estimate (Jackknife Method)\nEstimating variances using the Jackknife method will require forming replicate from the full sample by randomly eliminating one sample cluster [Enumeration Area (EA) at a time from a state containing k EAs, k replicated estimates are formed by eliminating one of these, at a time, and increasing the weight of the remaining (k-1) EAs by a factor of k\/(k-1).  This process is repeated for each EA.\n\nFor a given state or reporting domain, the estimate of the variance of a rate, r, is given by \n                                        k\nVar(r ) = (Se)2 =   1          S (ri - r)2 \n                         k(k-1)    i=1\n\nwhere (Se) is the standard error, \nk is the number of EAs in the state or reporting domain.\n\nr is the weighted estimate calculated from the entire sample of EAs in the state or reporting domain.  \n\tri  = kr  - (k - 1)r(i), where\n\nr(i) is the re-weighted estimate calculated from the reduced sample of k-1 EAs.\n\nTo obtain an estimate of the variance at a higher level, say, at the national level, the process is repeated over all states, with k redefined to refer to the total number of EAs (as opposed to the number in the states).","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire for the GHS is a structured questionnaire based on household characteristics with some modifications and additions. The House project module is a new addition and some new questions on ICT.\n\nThe questionnaires were scaned.\n\nThis section were divided into eleven parts.\n\nPart A:       Identification code, Response status, Housing characteristics\/amenities and Information communication Technology (ICT).\nPart B:\tSocio-demographic characteristics and Labour force characteristics\nPart C:\tInformation about the people in the household who were absent during the period of the survey.\nPart D:\tFemale contraceptive only, and children ever born by mothers aged 15 years and above\nPart E:\tBirths of children in the last 12 months, and trained birth attendant used during child delivery.\nPart F:\tImmunization of children aged 1 year or less and records of their vaccination\nPart G:\tChild nutrition, exclusive breast feeding and length of breast feeding.\nPart H:\tDeaths in the last 12 months, and causes of such deaths.\nPart I:\tHealth of all members, of the household and health care providers.\nPart J:\tHousehold enterprises, income and profit made from such activities.\nPart K:\tHousehold expenditure, such as school fees, medical expenses, housing expenses, remittance, cloth expenses, transport         expenses and food expenses.","coll_situation":"Prior to the commencement of data collection, training was conducted at two levels; Training of trainers and zonal level trainings.  This training was to equip trainers and trainees with background information about the survey and what is expected of them. Also, training sessions included classroom teaching, demonstration, mock interviews, role playing, field and home exercises.  \n\nIn each State, 3 teams were used comprising 3 supervisors and 12 enumerators.  A team was made up of one supervisor and four enumerators.  Each team covered 20 Enumeration Areas for a period of 26 days. A pair of Enumerators in a team covered 10 EAs. This translated to covering an Enumeration Area for an average of 5 days for the different statistical operations.  Each team moved in a roving manner","act_min":"As earlier stated the data collection exercise involved team made up of 3 interviewers and 1 supervisor. The supervisor assigns EAs to the interviewers and ensure that their job is properly edited at the end of the day.\n\nField monitoring and quality check exercises were also carried out during the period of data collection as part of the quality control measures.\n\nThe overall supervisor is the Zonal Controller in each zone and State Officers in each state ensure that all field personnel adhere to the rules and regulations on the field.\nRetrieval of records was carried out in two stages. The first stage retrieval was implemented by CBN Headquarters Staff during the monitoring visit to the States and zones. The second retrieval was done during the monitoring visit of NBS Headquarters staff.  A mop-up exercise was carried out by the NBS State officers and Zonal Controllers for 10 days after the scheduled period for data collection and retrieved records were sent to NBS Headquarters","weight":"The variable (Hweight ) Household weight is computed and attached to the data file.\n\nThe formula adopted in calculating the design weights for the survey data (sample results) were as follows:\n(i)\tThe probability of selecting an EA within a state was obtained by dividing the total number of EAs sampled in a state by total number of EAs in that particular state. Let this be represented by fj. That is,\n fj      = \tTotal Number of EAs sampled in a state\n\t\tTotal Number of EAs in that particular State \n\n(ii)\tLikewise, the probability of selecting an housing unit (HU) within an EA was obtained by dividing the total number of housing units selected in an EA  by the total number of housing units (HUs) listed in that particular EA. Let this be represented by fk. That is,\nfk     = \t Total Number of HUs selected in an EA\n Total Number of HUs listed in that particular EA\nMathematically,\nDesign weight =     Total number of EAs in a state\n\t\t                    Total number of EAs sampled in that particular state\n\t\t\t\t\t\tX\n\t\t\t        Total Number of HUs listed in an EA \n\t\t\t        Total Number of HUs selected in that particular EA\n\nEstimation Procedures:\nLet the probability of selecting the EA be fj and the probability of selecting the housing unit be fk.  Then the product f = fjfk =  1  where fj = n and fk = h\n                                                                 Wj k                N              H.\n\nHousehold Weight  (HHWeight )\n\n\t\t\n  \t                  n\t       h\n\tYs =  \tN   ?    H  ?  X sj k\n\t\t n  j=1   h k=1\n\n                                 n      h\n\t     =\tN   H   ?     ?  X sj k\n\t\tn     h    j=1  k=1\n\n                                                   n       h\n                \t=\tW s j k       ?       ?   X sj k        (Note: W s j k = N . H )\n\t\t                 j = 1  k=1                                                    n     h   \n\tWhere:\n\t\u02c6\n\tYs\t=\tEstimate for states\nN  \t=\tTotal Number of EAs in states\nn  \t=\tSelected number of EAs in states\nH \t= \tTotal number of Housing Units listed in the jth EA \t  \nh  \t=\tSelected number of Housing Units in the jth EA.\nXsj k  \t=\tValue of the element in the kth housing unit of jth EA in states.  \nWsjk\t=\tWeight of the element in kth housing unit of the jth EA in states.","cleaning_operations":"The data editing is in 2 phases namely manual editing before the questionnaires were scanned.\nThis involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire.\n \n The second editing is the computer editing, this is the cleaning of the already scanned data by the subject mater group.\nThe questionnaires were processed at the zones. On completion, computer editing was also carried out to ensure the integrity of the data. .","method_notes":"The data processing analysis involved Six main stages: \nDevelopment of data scanning scren. \nTraining of data processing staff. \nManual editing and coding. \nData entry and scanning comminting into a data base in SPSS. \nComputer editing. \nVerification and conversion\n\nThe table were then generated usining SPSS."},"analysis_info":{"response_rate":"At National level ,out of the expected 1,110 EAs, all were covered which showed 100% retrieval rate. (by the table 1.12 on page 196 of the report) \n\nAt household level, out of the 16,650 expected to be covered, 16,355 were canvassed which showed  98% retrieval.\n\nAt sector level (Urban\/Rural), 28.4% were recorded for Urban while Rural recorded 71.6%.","sampling_error_estimates":"No sampling error estimate","data_appraisal":"The Quality Control measures were carried out during the survey, essentially to ensure quality of data. There were three levels of supervision involving the supervisors at the first level, CBN staff, NBS State Officers and Zonal Controllers at second level and finally the NBS\/NCC Headquarters staff constituting the third level supervision. \nField monitoring and quality check exercises were also carried out during the period of data collection as part of the quality control measures"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The confidentiality of the individual respondent is protected by law (Statistical Act 2007)\nThis is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"National Bureau of Statistics (NBS)","affiliation":"Federal Government of Nigeria (FGN)","email":"feedback@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"}],"cit_req":"\"National Bureau of Statistics, Nigeria, General  Household Survey 2009-v.1.0 for the public use (January, 2012) provided by the National Data Archive.http:\/\/www.nigerianstat.gov.ng\"","conditions":"A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro 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":"Part A Identification","description":"This Part A of General Household Survey Questionnaire containing Identification code, Response status, Housing characteristics\/amenities and Information communication Technology (ICT).","case_count":"0","var_count":"41","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Part B Persons in the Household","description":"This part contains all demograhic information on members of household and also contains household amenties and Housing Project.","case_count":"0","var_count":"116","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"Part C Usual Residence Absent","description":"This part contains information on persons in the household who were not available in the household during the period of the survey.","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F4","file_name":"Part D Female Contraceptive Prevelance","description":"This part contains information on female Contraceptive Prevelance in the household.","case_count":"0","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F5","file_name":"Part E Births in the Last 12 Months","description":"This part contains information on births in the last 12 months in the household.","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F6","file_name":"Part F National Programme on Immunization","description":"This part contains information on National Programme on child Immunization","case_count":"0","var_count":"26","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F7","file_name":"Part G Child Nutrition Breast Feeding Module","description":"This file contains information on Nutrition-Breast feeding Module.","case_count":"0","var_count":"42","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F8","file_name":"Part H Deaths in the Last 12 Months","description":"This file contains information on Deaths in the last 12 months reported by the household.","case_count":"0","var_count":"14","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F9","file_name":"Part I Health for all Persons in the Household","description":"This section contains information on health condition of all members of the household and expenses incured.","case_count":"0","var_count":"27","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F10","file_name":"Part J Household Enterprise","description":"This section has information on the Household Enterprises","case_count":"0","var_count":"22","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F11","file_name":"Part K Household Expenditure","description":"This section has information on the Household Expenditure if any, and the number of persons engaged as well as the income\/profits.","case_count":"0","var_count":"32","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"Refno","file_id":"F1","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"4","var_width":"4","var_rec_seg_no":"1","labl":"Reference number","var_qstn_qstnlit":"Reference Number","var_universe":"PART A: IDENTIFICATION","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"Smonth","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5","var_end_pos":"6","var_width":"2","var_rec_seg_no":"1","labl":"Survey month","var_qstn_qstnlit":"Survey Month:","var_val_range":[{"units":"REAL","min":"0","max":"65"}],"var_universe":"PART A: IDENTIFICATION","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"Syear","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"7","var_end_pos":"8","var_width":"2","var_rec_seg_no":"1","labl":"Survey year","var_qstn_qstnlit":"Survey Year","var_val_range":[{"units":"REAL","min":"0","max":"89"}],"var_universe":"PART A: 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