{"type":"survey","doc_desc":{"idno":"DDI_ZAF_2025_QLFS-Q2_v01_M","producers":[{"name":"DataFirst","affiliation":"University of Cape Town","role":"Metadata producer"},{"name":"Development Data Group","abbr":"DECDG","affiliation":"The World Bank","role":"Metadata adapted for World Bank Microdata Library"}],"prod_date":"2025-10-01","version_statement":{"version":"Identical to a metadata (zaf-statssa-qlfs-2025-q2-v1) published on DataFirst microdata repository (https:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog). Some of the metadata fields have been edited."}},"study_desc":{"title_statement":{"idno":"ZAF_2025_QLFS-Q2_v01_M","title":"Quarterly Labor Force Survey 2025","sub_title":"Quarter 2","alternate_title":"QLFS-Q2 2025"},"authoring_entity":[{"name":"Statistics South Africa","affiliation":"Government of South Africa"}],"series_statement":{"series_name":"Labour Force Survey"},"version_statement":{"version":"Version 01: Edited, anonymised dataset for public distribution.","version_date":"2025","version_notes":"This version was retrieved by DataFirst on 1 October 2025"},"study_info":{"abstract":"The Quarterly Labor Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labor market activities of individuals aged 15 years or older who live in South Africa.","coll_dates":[{"start":"2025-04","end":"2025-06"}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_coverage":"National coverage","geog_unit":"The data is at the provincial and metropolitan level, as well as by geographic type (urban\/traditional\/farms)","analysis_unit":"Individuals","universe":"The QLFS sample covers the non-institutional population of South Africa with one exception. The only institutional subpopulation included in the QLFS sample are individuals in worker's hostels. Persons living in private dwelling units within institutions are also enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.","data_kind":"Sample survey data","notes":"INDIVIDUALS: labor market activity, labor preferences, labor market history, demographic characteristics, marital status, employment status, education, grants, tax.\n\nFrom 2010 the income data collected by South Africa's Quarterly Labor Force Survey is no longer provided in the QLFS dataset (except for a brief return in QLFS 2010 Q3 which may be an error). Possibly because the data is unreliable at the level of the quarter, Statistics South Africa now provides the income data from the QLFS in an annualized dataset called Labor Market Dynamics in South Africa (LMDSA). The datasets for LMDSA are available from DataFirst's website."},"method":{"data_collection":{"sampling_procedure":"The QLFS uses a master sampling frame that is used by several household surveys conducted by Statistics South Africa. This wave of the QLFS is based on the 2013 master frame, which was created based on the 2011 census. There are 3324 PSUs in the master frame and roughly 33 000 dwelling units. The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. For each quarter of the QLFS, a quarter of the sampled dwellings are rotated out of the sample. These dwellings are replaced by new dwellings from the same PSU or the next PSU on the list. For more information see the statistical release.","coll_mode":["Face-to-Face and Computer Assisted Personal and Telephone Interview"],"coll_situation":"Data was collected using face-to-face interviewing with CAPI questionnaires","weight":"The sample weights were constructed in order to account for the following: the original selection probabilities (design weights); adjustments for PSUs that were sub-sampled or segmented; excluded population from the sampling frame (EAs with insufficient DUs); non-response; weight trimming; benchmarking to known population estimates from the Demographic Analysis Chief Directorate within Stats SA; and raking to bias-adjusted control estimates from a bias-adjustment procedure to compensate for the non-coverage bias in the sample due to only observing those households that can be contacted by telephone.","research_instrument":"The survey questionnaire consists of the following sections:\n- Cover Page \n- Particulars of The Dwelling Unit\n- Demographic Information\n- Economic Activities"},"method_notes":"In general, imputation is used for item non-response (i.e. blanks within the questionnaire) and edit failures (i.e. invalid or inconsistent responses). The eligible households in the sampled dwellings can be divided into two response categories: respondents and non-respondents. Weight adjustment is applied to account for the non-respondent households (e.g. refusal, no contact, etc.). The adjustment for total non-response was computed at two levels of non-response: PSU non-response and household non-response."},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"support.data1st.org"}],"cit_req":"Statistics South Africa. Quarterly Labour Force Survey 2025: Quarter 2 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2025. Cape Town: DataFirst [distributor], 2025. DOI: https:\/\/doi.org\/10.25828\/nyxb-6250","conditions":"Public access data for use under a Creative Commons CC-BY (Attribution-only) License","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."}},"production_statement":{"funding_agencies":[{"name":"Government of South Africa","abbr":"Govt. 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Miners quarry (including apprentices\/trainees) Shot-firers blasters Stone splitters, cutters carvers apprentices\/ Diamond diver Builders, traditional materials Bricklayers stonemasons Concrete placers, concrete finishers (in Carpenters joiners frame Roofers Floor layers tile setters apprentices\/trainee Plasterers Insulation Glaziers Plumbers pipe fitters electricians apprentices\/tra Painters apprentices\/trainees Varnishers apprentices\/train structure cleaners Metal moulders coremakers Welders flamecutters Sheet-metal Structural-metal preparers erectors apprentic Riggers cable splicers Underwater Blacksmiths, hammersmiths forging-press (includi Tool-makers Machine-tool setter-operators apprent wheel-grinders, polishers tool sharpeners Motor vehicle mechanics apprentices\/t engine apprentices Agricultural or machinery ( apprentices\/trai servicers Telegraph telephone installers line installers, repairers jointers Metal, trades cl Precision-instrument\/instrument makers (includ 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