Labour Force Survey 2000, September
South Africa, 2000
Get Microdata
Reference ID
zaf-statssa-lfs-2000-sep-v2.1
Producer(s)
Statistics South Africa
Collections
Metadata
Created on
Jan 09, 2012
Last modified
May 06, 2020
Page views
52504
Downloads
6655
Identification
Survey ID Number
zaf-statssa-lfs-2000-sep-v2.1
Title
Labour Force Survey 2000, September
Subtitle
September
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").
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
v2.1: Edited, anonymised data, dataset for licensed distribution
Version Date
2011
Version Notes
The South African September 2000 LFS dataset was originally released in 2001 as 4 data files (household, worker, person and stratum\_psu). A second version was downloaded from the Statistics South Africa website subsequent to that in March 2006 by DataFirst. This version differed slightly from the originally obtained release. Most notably, weights were recast to reflect population estimates released in February 2005. This version was also benchmarked to the 2001 South African census (whereas previously it had been benchmarked to the 1996 South African census). As a result, the weight variables in each data file differ between versions 1.0 and 2.0. The second version (version 2.0) also has several extra observations. The source of these extra data is unclear. Specifically,
1) 31 extra observations are in the household data file
2) 1 extra observation are in the person data file
3) 18 extra observations are in the worker data file
A third version (version 2.1) was downloaded by DataFirst on 11 August 2011 as 3 data files (the other three data files subsumed the, originally separately released, stratum\_psu datafile) which differed slightly from version 2.0 in the following ways:
1) The suffix "\_Sep2000" no longer appears on all variable names
2) Year and Month variables were added
3) Variable labels were altered. Previously, all variable labels were literal questions. Now the variable labels describe the variables.
4) A number of variables were renamed (beyond dropping the suffix “\_Sep2000”). For example, Q710Lght\_Sep2000 in version 2.0 is now Q710Ligh in version 2.1. This could prove confusing when comparing between current and previous versions of the data file(s).
5) Version 2.1 and 2.0 also have some substantive differences:
The most significant of these is the apparent switch of one of the variable names and labels in the household/general data files. To clarify, Question 7.25 in the LFS Household questionnaire pertains to proximity to transport. Version 1.1 has entries for question 7.25a that relate respondent proximity to trains, but in the later version this variable relates proximity to taxis. The same is true for question 7.25b (i.e. the converse is also true). Summarily, the data relating respondent proximity to trains and taxis has been muddled up in version 2.0. This mistake would seem to be within version 2.0 only, as version 2.1 agrees with the original (version 1.0).
Furthermore, the variable reflecting the way in which the household receives mail (in the household data file) in version 2.0 has no value labels and does not match up with the values in version 2.1. Version 2.1 aggregates the value labels of version 2.0 in groups of 10. For example, in version 2.0 there are variables labelled 11, 12 and 19, which are grouped into decades in version 2.1. So entries of 11, 12 and 19 all take on the value 1 in the later version. In version 2.0, the sum of the number of observations within decades equals the sum of observations equal to 1 in version 2.0 (value label: "Delivered to the dwelling"). It is unclear as to the source of the distinction between these variables (it may be arbitrary, an artifact of ASCII to STATA conversion for example).
The South African September 2000 LFS dataset was originally released in 2001 as 4 data files (household, worker, person and stratum psu). A second version was downloaded from the Statistics South Africa website subsequent to that in March 2006 by DataFirst. This version differed slightly from the originally obtained release. Most notably, weights were recast to reflect population estimates released in February 2005. This version was also benchmarked to the 2001 South African census (whereas previously it had been benchmarked to the 1996 South African census). As a result, the weight variables in each data file differ between versions 1.0 and 2.0. The second version (version 2.0) also has several extra observations. The source of these extra data is unclear. Specifically,
• 31 extra observations are in the household data file
• 1 extra observation are in the person data file
• 18 extra observations are in the worker data file
A third version (version 2.1) was downloaded by DataFirst on 11 August 2011 as 3 data files (the other three data files subsumed the, originally separately released, stratum psu datafile) which differed slightly from version 2.0 in the
following ways:
1. The suffix ” Sep2000” no longer appears on all variable names
2. Year and Month variables were added
3. Variable labels were altered. Previously, all variable labels were literal questions. Now the variable labels describe the variables.
4. A number of variables were renamed (beyond dropping the suffix Sep2000). For example, Q710Lght Sep2000 in version 2.0 is now Q710Ligh in version 2.1. This could prove confusing when comparing between current and previous versions of the data file(s).
Version 2.1 and 2.0 also have some substantive differences:
Household/general data file
The most significant of these is the apparent switch of one of the variable names and labels in the household/general data files. To clarify, Question 7.25 in the LFS Household questionnaire pertains to proximity to transport. Version 1.1 has entries for question 7.25a that relate respondent proximity to trains, but in the later version this variable relates proximity to taxis. The same is true for question 7.25b (i.e. the converse is also true). Summarily, the data relating respondent proximity to trains and taxis has been muddled up in version 2.0. This mistake would seem to be within version 2.0 only, as version 2.1 agrees with the original (version 1.0).
Furthermore, the variable reflecting the way in which the household receives mail (in the household data file) in version 2.0 has no value labels and does not match up with the values in version 2.1. Version 2.1 aggregates the value labels
of version 2.0 in groups of 10. For example, in version 2.0 there are variables labelled 11, 12 and 19, which are grouped into decades in version 2.1. So entries of 11, 12 and 19 all take on the value 1 in the later version. In version 2.0, the sum of the number of observations within decades equals the sum of observations equal to 1 in version 2.0 (value label: ”Delivered to the dwelling”). It is unclear as to the source of the distinction between these variables (it may be arbitrary, an artifact of ASCII to STATA conversion for example).
1) 31 extra observations are in the household data file
2) 1 extra observation are in the person data file
3) 18 extra observations are in the worker data file
A third version (version 2.1) was downloaded by DataFirst on 11 August 2011 as 3 data files (the other three data files subsumed the, originally separately released, stratum\_psu datafile) which differed slightly from version 2.0 in the following ways:
1) The suffix "\_Sep2000" no longer appears on all variable names
2) Year and Month variables were added
3) Variable labels were altered. Previously, all variable labels were literal questions. Now the variable labels describe the variables.
4) A number of variables were renamed (beyond dropping the suffix “\_Sep2000”). For example, Q710Lght\_Sep2000 in version 2.0 is now Q710Ligh in version 2.1. This could prove confusing when comparing between current and previous versions of the data file(s).
5) Version 2.1 and 2.0 also have some substantive differences:
The most significant of these is the apparent switch of one of the variable names and labels in the household/general data files. To clarify, Question 7.25 in the LFS Household questionnaire pertains to proximity to transport. Version 1.1 has entries for question 7.25a that relate respondent proximity to trains, but in the later version this variable relates proximity to taxis. The same is true for question 7.25b (i.e. the converse is also true). Summarily, the data relating respondent proximity to trains and taxis has been muddled up in version 2.0. This mistake would seem to be within version 2.0 only, as version 2.1 agrees with the original (version 1.0).
Furthermore, the variable reflecting the way in which the household receives mail (in the household data file) in version 2.0 has no value labels and does not match up with the values in version 2.1. Version 2.1 aggregates the value labels of version 2.0 in groups of 10. For example, in version 2.0 there are variables labelled 11, 12 and 19, which are grouped into decades in version 2.1. So entries of 11, 12 and 19 all take on the value 1 in the later version. In version 2.0, the sum of the number of observations within decades equals the sum of observations equal to 1 in version 2.0 (value label: "Delivered to the dwelling"). It is unclear as to the source of the distinction between these variables (it may be arbitrary, an artifact of ASCII to STATA conversion for example).
The South African September 2000 LFS dataset was originally released in 2001 as 4 data files (household, worker, person and stratum psu). A second version was downloaded from the Statistics South Africa website subsequent to that in March 2006 by DataFirst. This version differed slightly from the originally obtained release. Most notably, weights were recast to reflect population estimates released in February 2005. This version was also benchmarked to the 2001 South African census (whereas previously it had been benchmarked to the 1996 South African census). As a result, the weight variables in each data file differ between versions 1.0 and 2.0. The second version (version 2.0) also has several extra observations. The source of these extra data is unclear. Specifically,
• 31 extra observations are in the household data file
• 1 extra observation are in the person data file
• 18 extra observations are in the worker data file
A third version (version 2.1) was downloaded by DataFirst on 11 August 2011 as 3 data files (the other three data files subsumed the, originally separately released, stratum psu datafile) which differed slightly from version 2.0 in the
following ways:
1. The suffix ” Sep2000” no longer appears on all variable names
2. Year and Month variables were added
3. Variable labels were altered. Previously, all variable labels were literal questions. Now the variable labels describe the variables.
4. A number of variables were renamed (beyond dropping the suffix Sep2000). For example, Q710Lght Sep2000 in version 2.0 is now Q710Ligh in version 2.1. This could prove confusing when comparing between current and previous versions of the data file(s).
Version 2.1 and 2.0 also have some substantive differences:
Household/general data file
The most significant of these is the apparent switch of one of the variable names and labels in the household/general data files. To clarify, Question 7.25 in the LFS Household questionnaire pertains to proximity to transport. Version 1.1 has entries for question 7.25a that relate respondent proximity to trains, but in the later version this variable relates proximity to taxis. The same is true for question 7.25b (i.e. the converse is also true). Summarily, the data relating respondent proximity to trains and taxis has been muddled up in version 2.0. This mistake would seem to be within version 2.0 only, as version 2.1 agrees with the original (version 1.0).
Furthermore, the variable reflecting the way in which the household receives mail (in the household data file) in version 2.0 has no value labels and does not match up with the values in version 2.1. Version 2.1 aggregates the value labels
of version 2.0 in groups of 10. For example, in version 2.0 there are variables labelled 11, 12 and 19, which are grouped into decades in version 2.1. So entries of 11, 12 and 19 all take on the value 1 in the later version. In version 2.0, the sum of the number of observations within decades equals the sum of observations equal to 1 in version 2.0 (value label: ”Delivered to the dwelling”). It is unclear as to the source of the distinction between these variables (it may be arbitrary, an artifact of ASCII to STATA conversion for example).
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 | Link |
| in-job training [3.2] | CESSDA | Link |
| labour relations/conflict [3.3] | CESSDA | Link |
| retirement [3.4] | CESSDA | Link |
| unemployment [3.5] | CESSDA | Link |
| working conditions [3.6] | CESSDA | Link |
| LABOUR AND EMPLOYMENT [3] | CESSDA | Link |
| TRADE, INDUSTRY AND MARKETS [2] | CESSDA | Link |
| DEMOGRAPHY AND POPULATION [14] | CESSDA | Link |
Coverage
Geographic Coverage
National Coverage
Geographic Unit
Province (variable name: "Prov")
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
The LFS is a twice-yearly rotating panel household survey. A rotating panel sample involves visiting the same dwelling units on a number of occasions (in this instance, five at most), and replacing a proportion of these dwelling units each round. New
dwelling units are added to the sample to replace those that are taken out. The pilot round of LFS fieldwork took place in February 2000, based on a probability sample of 10 000 dwelling units. This survey took place six months later, using a larger probability sample of 30,000 dwelling units. Among the 10,000 households visited in February, approximately 40% were re-visited in September 2000. The fieldworkers had some difficulty in identifying certain dwelling units in the sample, particularly in those areas where there are no addresses.
The Master Sample is based on the 1996 Population Census of enumeration areas (EA) and the estimated number of dwelling units from the 1996 Population Census. All 3000 PSUs included in the Master Sample were used in the Labour Force Survey. A PSU is either one EA or several EAs when the number of dwelling units in the base or originally selected EA was found to have less than 100 dwelling units. Each EA had to have approximately 150 dwelling units but it was discovered that many contained less. Thus, in some cases, it has been found necessary to add EAs to the original (census) EA to ensure that the minimum requirement of 100 dwellings, in the first stage of forming the PSUs, was met. The size of the PSUs in the Master Sample varied from 100 to 2445 dwelling units. Special dwellings such as prisons, hospitals, boarding houses, hotels, guest houses (whether catering or self-catering), schools and churches were excluded from the sample.
Explicit stratification of the PSUs was done by province and area type (urban/rural). Within each explicit stratum, the PSUs were implicitly stratified by District Council, Magisterial District and, within the magisterial district, by average household income (for formal urban areas and hostels) or EA. The allocated number of EAs was systematically selected with "probability proportional to size" in each stratum. Once the PSUs included in the sample were known, their boundaries had to be identified on the ground. After boundary identification, the next stage was to list accurately all the dwelling units in the PSUs.
The second stage of the sample selection was to draw from the dwelling units listing whereby a systematic sample of 10 dwelling units was drawn from each PSU. As a result, approximately 30,000 households (units) were interviewed. However, if there was growth of more than 20% in a PSU, then the sample size was increased systematically according to the proportion of growth in the PSU.
dwelling units are added to the sample to replace those that are taken out. The pilot round of LFS fieldwork took place in February 2000, based on a probability sample of 10 000 dwelling units. This survey took place six months later, using a larger probability sample of 30,000 dwelling units. Among the 10,000 households visited in February, approximately 40% were re-visited in September 2000. The fieldworkers had some difficulty in identifying certain dwelling units in the sample, particularly in those areas where there are no addresses.
The Master Sample is based on the 1996 Population Census of enumeration areas (EA) and the estimated number of dwelling units from the 1996 Population Census. All 3000 PSUs included in the Master Sample were used in the Labour Force Survey. A PSU is either one EA or several EAs when the number of dwelling units in the base or originally selected EA was found to have less than 100 dwelling units. Each EA had to have approximately 150 dwelling units but it was discovered that many contained less. Thus, in some cases, it has been found necessary to add EAs to the original (census) EA to ensure that the minimum requirement of 100 dwellings, in the first stage of forming the PSUs, was met. The size of the PSUs in the Master Sample varied from 100 to 2445 dwelling units. Special dwellings such as prisons, hospitals, boarding houses, hotels, guest houses (whether catering or self-catering), schools and churches were excluded from the sample.
Explicit stratification of the PSUs was done by province and area type (urban/rural). Within each explicit stratum, the PSUs were implicitly stratified by District Council, Magisterial District and, within the magisterial district, by average household income (for formal urban areas and hostels) or EA. The allocated number of EAs was systematically selected with "probability proportional to size" in each stratum. Once the PSUs included in the sample were known, their boundaries had to be identified on the ground. After boundary identification, the next stage was to list accurately all the dwelling units in the PSUs.
The second stage of the sample selection was to draw from the dwelling units listing whereby a systematic sample of 10 dwelling units was drawn from each PSU. As a result, approximately 30,000 households (units) were interviewed. However, if there was growth of more than 20% in a PSU, then the sample size was increased systematically according to the proportion of growth in the PSU.
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.
Stats SA revised their population model to produce mid-year population estimates in the light of mortality data released in 2005 (see Stats SA Statistical Release P0309.3, 2005). The benchmarks for the LFS discussed in this statistical release have been adjusted accordingly. Weights were then adjusted according to those 2005 population estimates.
Stats SA revised their population model to produce mid-year population estimates in the light of mortality data released in 2005 (see Stats SA Statistical Release P0309.3, 2005). The benchmarks for the LFS discussed in this statistical release have been adjusted accordingly. Weights were then adjusted according to those 2005 population estimates.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2000-09 | 2000-09 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
Data collected includes data on households and person data (via the Flap and Section 1 of the questionnaire), worker data on persons 15-65 years (Sections 2, 3, 4 and 5). worker data collected includes labour market data, including employment in both the formal and informal sectors, and data on unemployment. Most questions in the Labour Force Survey questionnaire are pre-coded, i.e. there is a set number of choices from which one or more must be selected. Post-coding was done for open-ended questions.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Manager, DataFirst | University of Cape Town | info@data1st.org | Link |
Access conditions
Licensed dataset, accessible under conditions
Citation requirements
Statistics South Africa. Labour Force Survey, September 2000. [dataset]. Version 2.1. Pretoria: Statistics South Africa [producer], 2001. Cape Town: DataFirst [distributor], 2011. DOI: https://doi.org/10.25828/qp37-qs77
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | info@data1st.org | Link |
Disclaimer and copyrights
Copyright
Copyright, Statistics South Africa
Metadata production
DDI Document ID
ddi-zaf-datafirst-lfs-2000-sep-v1.1
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | DDI Producer |
Date of Metadata Production
2020-03-29
DDI Document version
Version 2