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    Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2020-Q4-V2
StatsSA

Quarterly Labour Force Survey 2020, Quarter 4

South Africa, 2020
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Reference ID
zaf-statssa-qlfs-2020-q4-v2
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Mar 28, 2021
Last modified
Feb 04, 2022
Page views
16171
Downloads
1870
  • Study Description
  • Data Description
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data processing
  • Data Access
  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-qlfs-2020-q4-v2

    Title

    Quarterly Labour Force Survey 2020

    Subtitle

    Quarter 4

    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

    Unit of Analysis

    Individuals

    Version

    Version Description

    v2.0: Edited, anonymised dataset for public distribution

    Version Date

    2020-03-28

    Version Notes

    Version 1 was accessed by DataFirst on the 22nd of March 2021. It didn't contain covid variables.

    Version 2 was received by DataFirst from Stats SA on the 16th of July 2021. It contains the 9 covid variables and is otherwise the same as version 1.

    Scope

    Notes

    For Q4 2020 Statistics South Africa contiued 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.

    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.

    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.

    Producers and sponsors

    Primary investigators
    Name
    Statistics South Africa

    Sampling

    Sampling Procedure

    The samping procedure for this quarter of the QLFS had to be changed from the norm due to covid-19. In this 2020 Q4 the sample used was the same sample as from Q3, 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.

    Weighting

    Because the survey was done telehponically, households without telephones were essentially out of scope. To account for this problem,weights were "bias-adjusted" by Statistics South Africa. There was also significant imputation done to try and make the data more representative, despite covid.

    For more details see section 4 of the stastical release and the metadata document.

    Data Collection

    Dates of Data Collection
    Start End
    2020-10 2020-12

    Data processing

    Data Editing

    In general, imputation is used for item non-response (i.e. blanks within the questionnaire) and edit failures (i.e. invalid or inconsistent responses).

    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 access data, available to all

    Citation requirements

    Statistics South Africa. Quarterly Labour Force Survey 2020: Q4 [dataset]. Version 2. Pretoria: Statistics South Africa [producer], 2021. Cape Town: DataFirst [distributor], 2021. DOI: https://doi.org/10.25828/gd4d-s714

    Metadata production

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town DDI Producer
    Date of Metadata Production

    2022-02-04

    Metadata version

    DDI Document version

    Version 3

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