{"doc_desc":{"title":"Quarterly Labour Force Survey 2018 Q4","idno":"DDI_ZAF_2020_QLFS-Q3_v01_M","producers":[{"name":"DataFirst","abbreviation":"","affiliation":"University of Cape Town","role":"DDI Producer"}],"prod_date":"2021-01-11","version_statement":{"version":"Version 02: This metadata was downloaded from DataFirst Open Data Portal (https:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog\/central). The following two metadata information have been edited \u2013 Document and Survey ID."}},"study_desc":{"title_statement":{"idno":"ZAF_2020_QLFS-Q3_v01_M","title":"Quarterly Labour Force Survey 2020","sub_title":"Quarter 3","alt_title":"QLFS-Q3 2020"},"authoring_entity":[{"name":"Statistics South Africa","affiliation":""}],"distribution_statement":{"contact":[{"name":"DataFirst Helpdesk","affiliation":"University of Cape Town","email":"support@data1st.org","uri":""}]},"series_statement":{"series_name":"Labour Force Survey [hh\/lfs]","series_info":"Statistics South Africa. Quarterly Labour Force Survey 2020: Q3 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2020. Cape Town: DataFirst [distributor], 2020.DOI: https:\/\/doi.org\/10.25828\/e4wk-9c69"},"version_statement":{"version":"Version 1.0: Edited, anonymised dataset for public distribution","version_date":"2020-11-19","version_notes":"This version was downloaded by DataFirst on the 17th November 2020."},"study_info":{"abstract":"The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa.","coll_dates":[{"start":"2020-04","end":"2020-06","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_coverage":"National coverage","geog_unit":"Provincial and metropolitan level","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 [ssd]","notes":"For Q3 2020 Statistics South Africa continued to use Computer Assisted Telephone Interviewing, in an attempt to reduce the spread of COVID-19. This meant that households without telephones were out of scope. See the statistical release for more information.\n\nINDIVIDUALS: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax."},"method":{"data_collection":{"sampling_procedure":"The sampling procedure for this quarter of the QLFS had to be changed from the norm due to covid-19. In this 2020 Q3 the sample used was the same sample as from Q2 and Q1 from 2020. Because the interviews were done telephonically, any sampling units that did not have telephones dropped out of the sample. This was adjusted for in the weighting procedure.","coll_mode":"Computer Assisted Telephone Interview [cati]","research_instrument":"The survey questionnaire consists of five section:\nSection 1: Biographical information (marital status, language, migration, education, training, literacy, etc.) \nSection 2: Economic activities for persons aged 15 years and older \nSection 3: Unemployment and economic inactivity for persons aged 15 years and older \nSection 4: Main work activities in the last week for persons aged 15 years and older \nSection 5: Earnings in the main job for employees, employers and own-account workers aged 15 years and older","coll_situation":"This QLFS used Computer Assisted Telephone Interviewing (CATI) instead of face-to-face interviews because of the covid-19 pandemic.","weight":"Because the survey was done telephonically, households without telephones were essentially out of scope. To account for this problem, data from Q1 were used as the benchmark to which the Q3 weights were \"bias-adjusted\", in terms of labour market variables (status, sector, industry and occupation) and demographic (age, race and gender) characteristics, at three geographic levels. Note that Q1 2020 was itself imputed based on Q4 2019, so those imputations from Q4 would carry forward to 2020 Q1 and in turn to 2020 Q2 and Q3.\n\nFor more details see section 4 of the statistical release and the metadata document."},"analysis_info":{"data_appraisal":"COVID 19 Affected data collection for QLFS 2020 Q3. Please see the data collection and sampling sections for more on this and consult the statistical release for further information.\n\nNote that Q1 2020 was itself imputed based on Q4 2019, so those imputations from Q4 would carry forward to 2020 Q1 and in turn to 2020 Q2 and Q3."}},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/www.datafirst.uct.ac.za"}],"cit_req":"Statistics South Africa. Quarterly Labour Force Survey 2020: Q3 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2020. Cape Town: DataFirst [distributor], 2020.DOI: https:\/\/doi.org\/10.25828\/e4wk-9c69","conditions":"Public use files, available to all"}}},"schematype":"survey","tags":[{"tag":"noDOI"}]}