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Labour Force Survey 2005

South Africa, 2005
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Reference ID
ZAF_2005_LFS-MAR_v02_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
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  • Sampling
  • Data collection
  • Data Access
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  • Metadata production
  • Identification

    Survey ID number

    ZAF_2005_LFS-MAR_v02_M

    Title

    Labour Force Survey 2005

    Subtitle

    March

    Country
    Name Country code
    South Africa zaf
    Study type

    Labor Force Survey [hh/lfs]

    Abstract

    The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in South Africa. It measures a variety of issues related to the labour market,including unemployment rates (official and expanded), according to standard definitions of the International Labour Organisation (ILO).

    All editions of the LFS have been updated (some more than once) since their release. These version changes are detailed in a document available from DataFirst (in the "external documents" section titled "LFS 2000-2008 Collated Version Notes on the South African LFS").

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households (dwellings) and individuals

    Version

    Version Description

    v1.1: Edited, anonymised dataset for licensed distribution

    Version Date

    2011-03

    Version Notes

    The South African March 2005 LFS dataset was originally released in September 2005 as 2 data files (person and worker). A second version was downloaded from the Statistics South Africa website subsequent to that in August 2011. This version differs from the original release in that all data files now contain "year" and "month" variables.

    Scope

    Notes

    Household characteristics, household listing, demographics, education, economic activity, work for pay, business ownership, unemployment, employers, main work activity in the past week, wages, salary, employment, migration

    Topics
    Topic Vocabulary 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

    Province (variable name: "Prov")
    District Council (variable name: "DC")

    Universe

    The LFS sample covers the non-institutional population except for workers' hostels. However, 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

    Statistics South Africa uses a rotating panel methodology for the labour force survey. The rotating panel methodology involves visiting the same dwelling units on a number of occasions (in this instance, five at most). After the panel is established, a proportion of the dwelling units is replaced each round (in this instance, 20%). New dwelling units are added to the sample to replace those that are taken out.

    Enumeration Areas (EAs) that had a household count of less than twenty-five were omitted from the census 2001 frame that was used to draw the sample of Primary Sampling Units (PSUs) for the new Master Sample. Other omissions from the Master Sample frame included all institution EAs except workers, hostels, convents and monasteries. EAs from census 2001 were pooled in two stages, before and after sampling. Before sampling the criterion that was used to pool EAs was that they should contain a minimum of one hundred households. However, during listing it was discovered that there were discrepancies between the information on the database and what was on the ground.

    Therefore, in the second stage of pooling, EAs that were found to have less than sixty dwelling units during listing were pooled. The Master Sample is a multi-stage stratified sample. The overall sample size of PSUs was 3000. The explicit strata were the 53 district councils/metros (DCs). The 3000 PSUs were allocated to these DCs using the power allocation method. The PSUs were then sampled using probability proportional to size principles. The measure of size used was the number of households in a PSU as calculated in the census. The sampled PSUs were listed with the dwelling unit as the listing unit. From these listings systematic samples of dwelling units per PSU were drawn. These samples of dwelling units form clusters. The size of the clusters differs depending on the specific survey requirements. The LFS uses one of the clusters that contain ten dwelling units.

    Weighting

    The initial weights (household weights), based on the sample design, were equal to the inverse of the probability of selection. The initial weight for each member of the household was the same as the weight for the household itself. Further adjustment factors were then calculated within PSUs to account for non-response. To adjust for under-enumeration and to align survey estimates with independent population estimates, the weights were calibrated against Person benchmarks. A software package called CALMAR was used to perform this calibration. Using an iterative procedure, CALMAR adjusted the weights so that Person estimates conformed as closely as possible to external Person benchmarks. Gender, race and age group parameters were used for the Person cross-classification of the population.

    Data collection

    Dates of Data Collection
    Start End
    2005-03 2005-03

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://www.datafirst.uct.ac.za info@data1st.org
    Access conditions

    Licensed dataset, accessible under conditions

    Citation requirements

    Statistics South Africa. Labour Force Survey: March 2005. [dataset]. Version 1.1 Pretoria: Statistics South Africa [producer], 2005. Cape Town: DataFirst [distributor], 2011.

    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.

    Copyright

    Copyright, Statistics South Africa

    Contacts

    Contacts
    Name Affiliation Email URL
    Manager, DataFirst University of Cape Town info@data1st.org http://www.datafirst.uct.ac.za

    Metadata production

    DDI Document ID

    DDI_ZAF_2005_LFS-MAR_v02_M

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

    2012-07-09

    Metadata version

    DDI Document version

    Version 01 (July 2012) - Adapted version of the DDI "ddi-zaf-datafirst-lfs-2005-mar-v1.1" received from Data First.

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