Quarterly Labour Force Survey 2019, Quarter 1
South Africa, 2019
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zaf-statssa-qlfs-2019-q1-v1
Quarterly Labour Force Survey 2019
Quarter 1
| Name | Country code |
|---|---|
| South Africa | zaf |
Labour Force Survey [hh/lfs]
Statistics South Africa. Quarterly Labour Force Survey 2019: Q1 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2019. Cape Town: DataFirst [distributor], 2019. DOI: https://doi.org/10.25828/5sny-n338
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.
Sample survey data [ssd]
Individuals
Version
v1.0: Edited, anonymised dataset for public distribution
2019-05-14
v1.0: This version was downloaded by DataFirst on the 7th of June 2018
Scope
INDIVIDUALS: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax.
From 2010 the income data collected by South Africa's Quarterly Labour 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 annualised dataset called Labour Market Dynamics in South Africa (LMDSA). The datasets for LMDSA are available from DataFirst's website.
| Topic | Vocabulary | URI |
|---|---|---|
| employment [3.1] | CESSDA | http://www.nesstar.org/rdf/common |
| in-job training [3.2] | CESSDA | http://www.nesstar.org/rdf/common |
| labour relations/conflict [3.3] | CESSDA | http://www.nesstar.org/rdf/common |
| retirement [3.4] | CESSDA | http://www.nesstar.org/rdf/common |
| unemployment [3.5] | CESSDA | http://www.nesstar.org/rdf/common |
| working conditions [3.6] | CESSDA | http://www.nesstar.org/rdf/common |
| LABOUR AND EMPLOYMENT [3] | CESSDA | http://www.nesstar.org/rdf/common |
| TRADE, INDUSTRY AND MARKETS [2] | CESSDA | http://www.nesstar.org/rdf/common |
| DEMOGRAPHY AND POPULATION [14] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National coverage
Provincial and metropolitan level
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.
For more see the statistical release.
Producers and sponsors
| Name |
|---|
| Statistics South Africa |
Sampling
The Quarterly Labour Force Survey (QLFS) uses the Master Sample frame that has been developed as a general-purpose household survey frame. The 2013 Master Sample is based on information collected during the 2011 Census. There are 3 324 primary sampling units in the Master Sample, with an expected sample of approximately 33 000 dwelling units. The sampling procedure 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.
The Master Sample is designed to be representative at the provincial level and within provinces at metro/non-metro levels. The sample is divided equally into four subgroups or panels called rotation groups. For each quarter of the QLFS, a quarter of the sampled dwellings are rotated out of the sample and replaced by new dwellings from the same PSU or the next PSU on the list.
Weights were constructed in order to account for the following: the original selection probabilities (design weights), adjustments for PSUs that were subsampled or segmented, excluded population from the sampling frame, non-response, weight trimming, and benchmarking to known population estimates from the Demographic Analysis Division within Stats SA.
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. In the final step of constructing the sample weights, all individuals within a household are assigned the same adjusted base weight. The base weights are calibrated such that the aggregate totals will match independently derived population estimates for various marginal totals.
Data Collection
| Start | End |
|---|---|
| 2019-01 | 2019-03 |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | http://www.datafirst.uct.ac.za | support@data1st.org |
Public use data, available to all
Statistics South Africa. Quarterly Labour Force Survey 2019: Q1 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2019. Cape Town: DataFirst [distributor], 2019. DOI: https://doi.org/10.25828/5sny-n338
Disclaimer and copyrights
Copyright, Statistics South Africa
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
Metadata production
ddi-zaf-datafirst-qlfs-2019-q1-v1.0
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | DDI Producer |
2020-03-31
Metadata version
Version 2