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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 10, 2020
Page views
35957
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3943
  • Study Description
  • Data Description
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-qlfs-2019-q1-v1

    Title

    Quarterly Labour Force Survey 2019

    Subtitle

    Quarter 1

    Country
    Name Country code
    South Africa zaf
    Study type

    Labour Force Survey [hh/lfs]

    Series Information

    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

    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 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

    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 Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://www.datafirst.uct.ac.za support@data1st.org
    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

    Disclaimer and copyrights

    Copyright

    Copyright, Statistics South Africa

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/

    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

    Metadata version

    DDI Document version

    Version 2

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