{"type":"survey","study_desc":{"title_statement":{"idno":"VNM_2016_LFS_v01_M","title":"Labour Force Survey 2016","alt_title":"LFS-2016"},"authoring_entity":[{"name":"General Statistics Office of Viet Nam","affiliation":"Ministry of Planning and Investment of Viet Nam"}],"production_statement":{"funding_agencies":[{"name":"Government of Viet Nam","abbreviation":"GovVNM","role":""}]},"distribution_statement":{"contact":[{"name":"Department of Population and Labour Statistics","affiliation":"General Statistics Office of Viet Nam","email":"dansolaodong@gso.gov.vn","uri":"www.gso.gov.vn"}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]","series_info":"The national labor force reached to nearly 71 million persons in 2016,  aged 15 and above, of which about 54.4 million people joined into the labour force (It is not included those people aged 15 and over who were currently not residing in Vietnam). Even the fact that the urbanization process has been going on, the rural labour force is continuously considered as dominant, currently accounting for 67,8% of total labour force."},"version_statement":{"version":"Version 01"},"study_info":{"topics":[{"topic":"Education","vocab":"ILO","uri":""},{"topic":"Primary Education","vocab":"ILO","uri":""},{"topic":"Health","vocab":"ILO","uri":""},{"topic":"Household Income","vocab":"ILO","uri":""},{"topic":"Employment","vocab":"ILO","uri":""},{"topic":"Unemployment","vocab":"ILO","uri":""},{"topic":"Informal Work","vocab":"ILO","uri":""},{"topic":"Other Work Activities","vocab":"ILO","uri":""},{"topic":"Tax Policy & Administration","vocab":"ILO","uri":""},{"topic":"Gender","vocab":"ILO","uri":""},{"topic":"Migration & Remittances","vocab":"ILO","uri":""}],"abstract":"On 17 December 2015, the General Director of General Statistic Office issued Decision No 1160\/QD-TCTK on the 2016 Labour Force survey, along with its survey plan. The purpose of the survey was to collect the information on 2016 labor market participation from those people who are 15 years old and above currently residing in Vietnam; regarded as a basic for aggregating and compiling national statistical indicators on labor, employment, unemployment and income. These results would support for ministries and branches assessing and comparing the changes in labour market among quarters within the reference year as well as with those of previous annual labour force surveys conducted by GSO. These results would be also considered as a basic to develop and plan policies on human resource development; activities of investment, production and business accordant with the development trend on labor market; as well as to access and apply International Labor Organization\u2019s updated recommendations on labor and employment, especially in term of \u201clabor under-utilization\u201d into the reality of Vietnam. The statistics would be aggregated quarterly for the national and regional levels; and yearly for the provincial level.","time_periods":[{"start":"2016","end":"2016","cycle":""}],"coll_dates":[{"start":"2016","end":"2016","cycle":""}],"nation":[{"name":"Viet Nam","abbreviation":"VNM"}],"geog_coverage":"Whole country.","analysis_unit":"- Households\n- Individuals ages 15  and above","universe":"Population ages 15 and over (working age population).","data_kind":"Sample survey data [ssd]","notes":"The scope of the Labour Force Survey includes:\n\n- Household characteristics\n- Individual characteristcs for household residents ages 15 and above: main characteristics of the resident, economic activity status, employment characteristics, income from main job, unemployment\/inactivity characteristics.","study_scope":"The scope of the Labour Force Survey includes:\n\n- Household characteristics\n- Individual characteristcs for household residents ages 15 and above: main characteristics of the resident, economic activity status, employment characteristics, income from main job, unemployment\/inactivity characteristics."},"method":{"data_collection":{"data_collectors":[{"name":"General Statistics Office of Viet Nam","abbreviation":"","affiliation":"Ministry of Planning and Investment of Viet Nam"}],"sampling_procedure":"Sampling frame\nThe sample of 2016 Labor Force Survey is the 2 stage stratified sample in order to ensure the presentative of quarterly aggregated statistics for the whole country, urban\/rural, 6 social economic regions, Hanoi and Hochiminh cities as well as annually aggregated ones for 63 provinces\/cities. Each province\/city would\nconstitute a main stratum with two sub-stratums namely urban and rural ones. The sampling frame is based on the 2015 Inter-censal Population and Housing Survey's selected enumeration areas.\n\nSample size\nThe 2016 Labor Force Survey was conducted with the sample size of 50.640 households\/quarter, (that is, equivalent to 16.880 households\/month). The sample size was designed and allocated to ensure the statistical significance\/ preventative of quarterly aggregated statistics at regional level and annually aggregated ones at\nprovincial level.","sampling_deviation":"The sample of this survey is stratified into 2 stages and designed as follows:\n\n-  Stage 1 (selecting EAs): Each province\/city will constitute a main stratum divided into 2 sub stratums (of which, one will be representative for urban areas and the other is for rural areas). At this stage, list of provincial enumeration areas (the master sample frame \u2013 taken from the 1\/4\/2014 Inter-censal Population and\nHousing Survey\u2019s 20% sample) will be divided into 2 independent sub-sample frames (urban and rural), and EAs will be selected by the method of probability proportional to size - PPS.\n\n-  Stage 2 (selecting households): At each selected EA (that is determined in stage 1), after updating the EA and making the list of households, the updated list of households will be divided into 2 groups (defined as the upper\/first and the lower\/ second half of the list of households). Then, at each half, 15 households will be\nselected systematically.\n\nIn order to improve the design efficiency and ensure to the reliability of survey sample, the sample will be selected alternately (under the 2-2-2 rotation). By this way, each EA will be divided into 02 rotational groups, whose households will be selected into sample in two adjacent quarters, and then excluded in 2 succeeding adjacent quarters, finally selected again into the sample in 2 following adjacent quarters. Each EA will be selected into the sample 4 times during a year at most.","coll_mode":"Face-to-face [f2f]","research_instrument":"Single questionnaire covering: \n- Household characteristcs\n- Individual characterists for those ages 15 and over as well as information on economic activity or inactivity","coll_situation":"The data was collected by the interviewers in the face-to-face interviews. For the household members who were temporarily absent, interviewers could ask other members of the household or use the official document provided by his\/her relatives or local government to fill into the questionnaire.","weight":"Because the sample was selected independently for each stratum according to the systematic random sampling method, the basic sample weights for the household data were computed as the inverse of the probability of selection of the household. For quarterly estimates, the population estimated at the ending time point of\nobservation quarter will be based on. For example, the generalized results in Quarter 4, 2015 will be estimated from the population at 0h on 1\/1\/2016. The data used to calculate the quarterly weight is the one of 3 months in the reference quarter, while the data used to calculate the annual weight is the one of 12 months in the reference year. Department of Population and Labor Statistics have cooperated closely with the Statistic Informatics Center of Zone 1 to programme, calculate in details and check the accuracy of weights above for all EAs of the survey."},"analysis_info":{"response_rate":"Residence\/Socio-economic region                         Total                  Male                Female          Labor force participation rate\nEntire country                                                       100.0                 100.0                100.0                   77.5\nUrban                                                                    31.9                    32.0                  31.9                     71.0\nRural                                                                      68.1                    68.0                   68.1                    81.0"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The information collected from the Labor Force Survey in accordance with Decree No 1287\/QD-TCTK issued on 10 November, 2014 by General Director of the General Statistic Office - GSO will be used and kept confidentially as regulated by Statistical Law.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Department of Population and Labour Statistics","affiliation":"General Statistics Office of Viet Nam","email":"dansolaodong@gso.gov.vn","uri":"www.gso.gov.vn"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample: General Statiscs Office of Viet Nam. Viet Nam Labour Force Survey (LFS) 2016. Ref.VNM_2016_LFS_v01_M. Dataset downloaded from [URL] on [date].","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":"VNM_2016_LFS_v01_M_STATA","description":null,"case_count":"0","var_count":"78","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"Matinh","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"T?nh","var_val_range":[{"units":"REAL","min":"1","max":"96"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"Mahuyen","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"Huy?n","var_val_range":[{"units":"REAL","min":"1","max":"973"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"Hoso","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"H? s?","var_val_range":[{"units":"REAL","min":"1","max":"956"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"stt","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"stt","var_val_range":[{"units":"REAL","min":"1","max":"17"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V5","name":"thangdt","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"Th\u00e1ng ?i?u tra","var_val_range":[{"units":"REAL","min":"1","max":"12"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"c2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"2. 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