Labour Market Dynamics in South Africa 2012

South Africa, 2012

Get Microdata

Reference ID

zaf-statssa-lmdsa-2012-v1.1

Producer(s)

Statistics South Africa

Collections

South African Labour Force Survey Data African Centre of Excellence for Inequality Research

Metadata

Documentation in PDF DDI/XML JSON

Created on

Jan 22, 2014

Last modified

Jul 03, 2020

Page views

71100

Downloads

4875

Identification

Survey ID number

zaf-statssa-lmdsa-2012-v1.1

Title

Labour Market Dynamics in South Africa 2012

Country

Name	Country code
South Africa	zaf

Study type

Labor Force Survey [hh/lfs]

Series Information

Statistics South Africa. Labour Market Dynamics in South Africa 2012 [dataset]. Version 1.2. Pretoria: Statistics South Africa [producer], 2015. Cape Town: DataFirst [distributor], 2015. DOI: https://doi.org/10.25828/at7n-5v82

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 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

v1.1: Edited, anonymised dataset for public distribution

Version Date

2015

Version Notes

Versions 1.

Version 1 of the Labour Market Dynamics in South Africa 2010 was downloaded from the Statistics South Africa website on the 9th of December 2012.

In the third quarter or 2012, several extra questions were introduced to the QLFS questionnaire. This introduced a set of extra variables into all QLFS data files after the 2012 Q2, meaning that certain observations (from the first and second quarter) will necessarily have not applicable codes for those variables. Given that the quarter variable is not included with the data file (making it impossible to distinguish why responses for new variables would be designated as "non-applicable"), users are advised to proceed with caution when including the following variables in analysis:

Q18FIELD
Q19ATTE
Q311BWHNSTART
Q414ABPROTECT
Q47CLEAVE
Q47CMATERNITY
Q47CSICK

Version 1.1

This version, version 1.1, was downloaded from the Statistics South Africa website on the 8th of April 2015. Version 1.1 is revised by Statistics South Africa. The following changes have been made in this version:

1. Some variables in version 1 have been removed from this dataset - these are:

"Q18FIELD" - Study field
"Q19ATTE" - Currently attending educational institution
"Q110EDUI" - Education Institution
"Q311bWHNSTART" - How soon can you start work or a business
"Q47cLEAVE" - Paid vacation leave
"Q47cSICK" - Paid sick leave
"Q47cMATERNITY" - Maternity/paternity leave
"Q414aBPROTECT" - Business organisation/association
"NEET" - Not in employment, education or training

2. New variables have been added - these are:

"Qtr" - Quarter

Data for the Labour Market Dynamics in South Africa dataset is taken from the Quarterly Labour Force Survey.Version 1.1 now includes an identifier for the quarterly dataset from which the data is taken. This was not available in version 1 of the dataset.
Providing this information ensures that each observation in the dataset is identified by a unique number representing the household, person and survey.

Scope

Notes

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

Keywords

Individual income health systems and financing education social protection (includes pensions, safety nets, social funds) labor markets primary education secondary education tertiary education.

Coverage

Geographic Coverage

National coverage

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

Sampling

Sampling Procedure

The QLFS frame has been developed as a general purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.

The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a Master Sample of Primary Sampling Units (PSUs) which comprises of EAs that are drawn from across the country.

The sample is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro.

The current sample size is 3 080 PSUs. It is divided equally into four sub-groups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of primary sampling units (PSUs) in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

Data collection

Dates of Data Collection

Start	End
2012-01	2012-12

access_policy

Access authority

Name	Affiliation	URL	Email
Manager, DataFirst	University of Cape Town		info@data1st.org

Citation requirements

Contacts

Name	Email	URL
DataFirst Helpdesk	support@data1st.org

Metadata production

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata creator

Date of Metadata Production

2020-03-30

Metadata version

DDI Document version

Version 2

Back to Catalog