Quarterly Labour Force Survey 2014
South Africa, 2014
Statistics South Africa
Identification
IDNO
ZAF_2014_QLFS-Q3_v01_M
Title
Quarterly Labour Force Survey 2014
Subtitle
Third Quarter
Countries
| Name | Code |
|---|---|
| South Africa | zaf |
Study notes
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]
Version
Version
v1.0: Edited, anonymised dataset for public distribution
Version date
2014-10-30
Scope
Topics
| Topic | Vocab | metadata.study_desc.study_info.topics.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
Unit of analysis
Individuals
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
Authoring entity
| 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.
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 collection
| Start | End |
|---|---|
| 2014-07 | 2014-09 |
Mode of data collection
Face-to-face [f2f]
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | http://www.datafirst.uct.ac.za |
Access conditions
Public use data, available to all
Citation requirements
Statistics South Africa. Quarterly Labour Force Survey 2014: Q3 [dataset]. Version 1.0. Pretoria: Statistics South Africa [producer], 2014. Cape Town: DataFirst [distributor], 2014.
Data collection locations
Datafirst
Original archive where collection stored
Datafirst
https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/527
Cost: None
https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/527
Cost: None
Disclaimer and copyrights
Copyrights
Copyright, Statistics South Africa
Contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
Metadata production
IDNo
DDI_ZAF_2014_QLFS-Q3_v01_M
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | DDI Producer |
Production date
2015-07-14
Version
Version 1.0
Version 1.1 (Adaptation of version 1.0 from DataFirst: ddi-zaf-statssa-qlfs-2014-q3-v1. Study IDs edited)
Version 1.1 (Adaptation of version 1.0 from DataFirst: ddi-zaf-statssa-qlfs-2014-q3-v1. Study IDs edited)