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    Home / Data Portal / STATSSA / ZAF-STATSSA-LMDSA-2010-V1.1
StatsSA

Labour Market Dynamics in South Africa 2010

South Africa, 2010
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Reference ID
zaf-statssa-lmdsa-2010-v1.1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa African Centre of Excellence for Inequality Research
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 15, 2012
Last modified
Jul 03, 2020
Page views
26698
Downloads
2811
  • Study Description
  • Data Description
  • Downloads
  • Get Microdata
  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Access policy
  • Metadata production

Identification

Survey ID Number
zaf-statssa-lmdsa-2010-v1.1
Title
Labour Market Dynamics in South Africa 2010
Country
Name Country code
South Africa zaf
Study type
Labor Force Survey [hh/lfs]
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
Version 1 of the Labour Market Dynamics in South Africa 2010 was downloaded from the Statistics South Africa website on the 3rd of July 2012.

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:

"Q54ASALARYWAGE" - Wages/salary before deductions
"Q54BREFUSE" - Amount not stated
"Q57ASALARYWAGE" - Earnings after expenses
"Q57BREFUSE" - Amount not stated

2. New variables have been added - these are:

"Q26AFARMWRK" - Do farm work
"Q26ATIME" - Time
"Q26BFETCHWATER" - Fetch water
"Q26BTIME" - Time
"Q26CPRODHHGOODS" - Produce goods
"Q26CTIME" - Time
"Q26DCONSTRUC" - Do construction
"Q26DTIME" - Time
"Q26ECATCHFOOD" - Catch food
"Q26ETIME" - Time
"infempl" - Informal employment
"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
Keyword
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
2010-01 2010-12
Data Collection Mode
Face-to-face [f2f]

Access policy

Contacts
Name Email URL
DataFirst Helpdesk support@data1st.org Link
Citation requirements
Statistics South Africa. Labour Market Dynamics in South Africa 2010 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2015. Cape Town: DataFirst [distributor], 2015. DOI: https://doi.org/10.25828/96n4-5244
Access authority
Name Affiliation Email URL
Manager, DataFirst University of Cape Town info@data1st.org Link

Metadata production

Producers
Name Affiliation Role
DataFirst University of Cape Town Metadata creator
Date of Metadata Production
2020-03-30
DDI Document version
Version 2
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