ZAF_2013_QLFS-Q4_v01_M
Quarterly Labour Force Survey 2013
Fourth Quarter
Name | Country code |
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South Africa | ZAF |
Labor Force Survey [hh/lfs]
The Quarterly Labour Force Survey (QLFS) is a household-based sample survey that collects data on the labour market activity of individuals aged 15 years or older who live in South Africa. QLFS collects quarterly information about persons in the labour market, i.e., those who are employed; those who are unemployed and those who are not economically active.
The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). The survey collects data on the labour market activities of individuals aged 15 years and above who live in South Africa. The objective of the QLFS is to collect quarterly information about persons in the labour market, i.e., those who are employed; those who are unemployed and those who are not economically active.
The Quarterly Labour Force Survey (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. The sample is designed to be representative at provincial level and within provinces at 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 of the different geography types that may exist within that metro.
Sample survey data [ssd]
Members of households aged 15 years or older.
v1.0: Edited, anonymised dataset for public distribution
This version of the QLFS 2013 Q4 was downloaded from the Statistics South Africa (Stats SA) website in April 2014. Stats SA updated the QLFS results (2008-2013) to reflect the new population benchmarks from Census 2011.
The Scope of the Quarterly Labor Force Survey includes: Labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax.
National Coverage
The QLFS 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.
Name |
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Statistics South Africa |
The sample size for the QLFS is roughly 30,000 dwellings.The sample is based on information collected during the 2001 Population Census conducted by Statistics South Africa (Stats SA). In preparation for Census 2001, the country was divided into 80,787 enumeration areas (EAs). Some of these EAs are small in terms of the number of households that were enumerated in them at the time of Census 2001. The Stats SA household-based surveys use a Master Sample of primary sampling units (PSUs) which comprises EAs that are drawn from across the country. For the purposes of the Master Sample, the EAs that contained fewer than 25 households were excluded from the sampling frame, and those that contained between 25 and 99 households were combined with other EAs of the same geographic type to form primary sampling units (PSUs). The number of EAs per PSU ranges between one and four. On the other hand, very large EAs represent two or more PSUs.
The sample is designed to be representative at provincial level and within provinces at 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 that, for example, within a metropolitan area the sample is designed to be representative at the different geography types that may exist within that metro.
The current sample size is 3,080 PSUs. It is equally divided into four subgroups 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 Labour Force Survey 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 sampled PSUs have been assigned to 4 rotation groups, and dwellings selected from the PSUs assigned to rotation group '1' are rotated in the first quarter. Similarly, the dwellings selected from the PSUs assigned to rotation group '2' are rotated in the second quarter, and so on. Thus, each sampled dwelling will remain in the sample for four consecutive quarters. It should be noted that the sampling unit is the dwelling, and the unit of observation is the household. Therefore, if a household moves out of a dwelling after being in the sample for, say 2 quarters, and a new household moves in, then the new household will be enumerated for the next two quarters. If no household moves into the sampled dwelling, the dwelling will be classified as vacant (unoccupied). At the end of each quarter, a quarter of the sampled dwellings rotate out of the sample and are replaced by new dwellings from the same PSU or the next PSU on the list. A total of 3,080 PSUs were selected for the redesigned LFS, and 770 have been assigned to each of the four rotation groups.
Stats SA updated the QLFS results (2008-2013) to reflect the new population benchmarks from Census 2011.
The sampling weights for the data collected from the sampled households are constructed so that the responses could be properly expanded to represent the entire civilian population of South Africa. The weights are the result of calculations involving several factors, including original selection probabilities, adjustment for non-response, and benchmarking to known population estimates from the Demographic Analysis division of Stats SA.
Final survey weights
The final survey weights are constructed using regression estimation to calibrate to the known population counts at the national level population estimates (which are supplied by the Demographic Analysis division) cross-classified by 5-year age groups, gender and race, and provincial population estimates by broad age groups are used for calibration weighting. The 5-year age groups are: 0–4, 5–9, 10–14, 55–59, 60–64, and 65 and over. The provincial level age groups are: 0–14, 15–34, 35–64, and 65 years and over. The final weights are constructed in such a manner that all persons within a household would have the same weight.
Contents of the QLFS questionnaire:
-Section 1 of the QLFS questionnaire: Biographical information (marital status, language, migration, education, training, literacy, etc.)
-Section 2 of the QLFS questionnaire: Economic activities
-Section 3 of the QLFS questionnaire: Unemployment and economic inactivity
-Section 4 of the QLFS questionnaire: Main work activities in the last week
-Section 5 of the QLFS questionnaire: Earnings in the main job (Earnings are published once a year)
-All sections of the QLFS questionnaire: Comprehensive coverage of all aspects of the labour market
Start | End |
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2013-10 | 2013-12 |
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Statistics South Africa |
Because estimates are based on sample data, they differ from figures that would have been obtained from complete enumeration of the population using the same instrument. Results are subject to both sampling and non-sampling errors. Non-sampling errors include biases from inaccurate reporting, processing, and tabulation etc., as well as errors from non-response and incomplete reporting. These types of errors cannot be measured readily. However, to the extent possible, non-sampling errors can be minimised through the procedures used for data collection, editing, quality control, and non-response adjustment. The variances of the survey estimates are used to measure sampling errors.
Name | Affiliation | URL | |
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DataFirst | University of Cape Town | http://www.datafirst.uct.ac.za | support@data1st.org |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Statistics South Africa. South Africa Quarterly Labour Force Survey (QLFS-Q4) 2013, Fourth Quarter 2013. Ref. ZAF_2013_QLFS-Q4_v01_M. Dataset downloaded from [url] on [date].
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.
Name | Affiliation | URL | |
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The World Bank Microdata Library | World Bank | microdata@worldbank.org | http://microdata.worldbank.org |
Statistics South Africa | info@statssa.gov.za | http://www.statssa.gov.za |
DDI_ZAF_2013_QLFS-Q4_v01_M_WB
Name | Affiliation | Role |
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Development Data Group | World Bank | Documentation of the DDI |
2014-04-07
Version 01 (April 2014)