Labour Market Dynamics in South Africa 2019

South Africa, 2019

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Reference ID

ZAF_2019_LMDSA_v01_M

Producer(s)

Statistics South Africa

Collection(s)

DataFirst , University of Cape Town, South Africa

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Nov 19, 2021

Last modified

Nov 19, 2021

Page views

5644

Downloads

468

Identification

Survey ID number

ZAF_2019_LMDSA_v01_M

Title

Labour Market Dynamics in South Africa 2019

Country/Economy

Name	Country code
South Africa	ZAF

Study type

Labor Force Survey [hh/lfs]

Series Information

Statistics South Africa. Labour Market Dynamics in South Africa 2019 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2019. Cape Town: DataFirst [distributor], 2021.

Abstract

The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (StatsSA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa. Since 2008, StatsSA have produced an annual dataset based on the QLFS data, "Labour Market Dynamics in South Africa". The dataset is constructed using data from all four QLFS datasets in the year. The dataset also includes a number of variables (including income) that are not available in any of the QLFS datasets from 2010.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Individuals

Version

Version Description

Version 1.1: Edited, anonymised dataset for public distribution

Version Date

2021

Version Notes

Version 1 of the Labour Market Dynamics in South Africa 2019 was downloaded from Statistics South Africa on the 19th of January 2021. Unforutunately, the earnings variables had all values missing.

Version 1.1 was downloaded from Statistics South Africa on the 29th of January 2021. It includes earnings data.

Scope

Notes

Individuals: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax, income.

Coverage

Geographic Coverage

National coverage

Geographic Unit

The lowest level of geographic aggregation is by Province.

Universe

The QLFS sample covers the non-institutional population except for those in workers' hostels. However, persons living in private dwelling units within institutions are 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

Funding Agency/Sponsor

Name
Statistics South Africa

Sampling

Sampling Procedure

Each year the LMDSA is created by combining the QLFS waves for that year and then including some additional variables. The QLFS master frame for this LMDSA was based on the 2011 population census by Stas SA. The sampling is stratified by province, district, and geographic type (urban, traditional, farm).

There are 3324 PSUs drawn each year, using probability proportional to size (PPS) sampling. In the second stage Dwelling Units (DUs) are systematically selected from PSUs. The 3324 PSU are split into four groups for the year, and at each quarter the DUs from the given group are replaced by substitute DUs from the same PSU or the next PSU on the list (in the same group). It should be noted that the sampling unit is the dwelling, and the unit of observation is the household. Therefore, if a household moves out of a dwelling after being in the sample for, two quarters and a new household moves in, the new household will be enumerated for two more quarters until the DU is rotated out. If no household moves into the sampled dwelling, the dwelling will be classified as vacant (or unoccupied).

Response Rate

For more information see the statistical release that accompanies the data.

Weighting

The sampling weights for the data collected from the sampled households are constructed in such a manner that the responses could be properly expanded to represent the entire civilian population of South Africa. The weights are the result of calculations involving several factors, including original selection probabilities, adjustment for non-response, and benchmarking to known population estimates from the Demography division of Stats SA. For more information see the metadata document.

Survey instrument

Questionnaires

The survey questionnaire consists of the following sections:

Particulars of each person in the household
Economic activities in the last week for persons aged 15 years
Unemployment and economic inactivity for persons aged 15 years
Main work activity in the last week for persons aged 15 years
Earnings in the main job for employees, employers and own-account workers aged 15 years
Migration for all persons aged 15 years

Data collection

Dates of Data Collection

Start	End
2019-01	2019-12

Data appraisal

Data Appraisal

The statistical release notes that missing values were "generally imputed" for item non-response but provides no detail on how Stats SA did so.

Data Access

Access authority

Name	Affiliation	URL	Email
DataFirst	University of Cape Town	support.data1st.org	support@data1st.org

Access conditions

Public use files, available to all

Citation requirements

Statistics South Africa. Labour Market Dynamics in South Africa 2019 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2019. Cape Town: DataFirst [distributor], 2021.

Disclaimer and copyrights

Disclaimer

The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Contacts

Name	Affiliation	Email
DataFirst Support	University of Cape Town	support@data1st.org

Metadata production

DDI Document ID

DDI_ZAF_2019_LMDSA_v01_M

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata producer
Development Economics Data Group	The World Bank	Metadata adapted for Microdata Library

Date of Metadata Production

2021-01-29

Metadata version

DDI Document version

Version 01: This metadata was downloaded from DataFirst website(https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/central). The following two metadata information has been edited – Document and Survey ID.

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