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    Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2019-Q1-V1
StatsSA

Quarterly Labour Force Survey 2019, Quarter 1

South Africa, 2019
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Reference ID
zaf-statssa-qlfs-2019-q1-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Jun 24, 2019
Last modified
Sep 11, 2020
Page views
19056
Downloads
2516
  • Study Description
  • Data Description
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
zaf-statssa-qlfs-2019-q1-v1
Title
Quarterly Labour Force Survey 2019, Quarter 1
Subtitle
Quarter 1
Country
Name Country code
South Africa zaf
Study type
Labour Force Survey [hh/lfs]
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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individuals

Version

Version Description
v1.0: Edited, anonymised dataset for public distribution
Version Date
2019-05-14
Version Notes
v1.0: This version was downloaded by DataFirst on the 7th of June 2018

Scope

Notes
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.
Topics
Topic Vocabulary URI
employment [3.1] CESSDA Link
in-job training [3.2] CESSDA Link
labour relations/conflict [3.3] CESSDA Link
retirement [3.4] CESSDA Link
unemployment [3.5] CESSDA Link
working conditions [3.6] CESSDA Link
LABOUR AND EMPLOYMENT [3] CESSDA Link
TRADE, INDUSTRY AND MARKETS [2] CESSDA Link
DEMOGRAPHY AND POPULATION [14] CESSDA Link

Coverage

Geographic Coverage
National coverage
Geographic Unit
Provincial and metropolitan level
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.

For more see the statistical release.

Producers and sponsors

Primary investigators
Name
Statistics South Africa

Sampling

Sampling Procedure
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.
Weighting
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

Dates of Data Collection
Start End
2019-01 2019-03
Data Collection Mode
Face-to-face [f2f]

Access policy

Contacts
Name Affiliation Email URL
DataFirst Helpdesk University of Cape Town support@data1st.org Link
Access conditions
Public use data, available to all
Citation requirements
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
Access authority
Name Affiliation Email URL
DataFirst University of Cape Town support@data1st.org Link

Disclaimer and copyrights

Copyright
Copyright, Statistics South Africa

Metadata production

DDI Document ID
ddi-zaf-datafirst-qlfs-2019-q1-v1.0
Producers
Name Affiliation Role
DataFirst University of Cape Town DDI Producer
Date of Metadata Production
2020-03-31
DDI Document version
Version 2
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