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Labour Force Survey (LFS 16), September 2007
The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in the country. It also provides insight into 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)
General Household Survey, 2007
The GHS is an annual household survey, specifically designed to measure various aspects of the living circumstance of South Africa households
Domestic Tourism Survey (DTS), 2008
The DTS is aimed at addressing this need to collect more detailed information on domestic tourism in order to better understand and measure the contribution of the tourism industry towards the national economy. This will be done by collecting accurate statistics on the travel behaviour and expenditure of South African residents travelling within and outside the borders of South Africa. Such information is crucial in determining the contribution of tourism to the South African economy as well as helping with planning, marketing, policy formulation and regulation of tourism-related activities.
In addition to the basic demographic information collected in the majority of household surveys conducted
by Stats SA, the DTS covers seven areas specifically related to travel and expenditure patterns, namely: overview of trips taken by the household, domestic day trips by the respondent and/or other household members, domestic day trips by other household members only (without the respondent), domestic overnight trips by the respondent and/or other household members, domestic overnight trips by other household members only (without the respondent), foreign overnight trips by the respondent and/or other household members, and foreign overnight trips by other household members only (without the respondent)
General household survey, 2006
The GHS is an annual household survey, specifically designed to measure various aspects of the living circumstance of South Africa households
Income and Expenditure Survey, 2005/2006
The IES is a five-yearly household survey based on the sample for the rotating panel of the twice yearly Labour force Survey (LFS). It measures the detailed income and expenditure of households. The survey was done by means of an interview with the household head or a responsible adult and the questionnaire was completed by the enumerator during this interview. In cases where the household requested to complete the questionnaire themselves, it was dropped off by the enumerator, and the completed questionnaire was collected at a second visit
Labour Force Survey (LFS 15), March 2007
The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in the country. It also provides insight into 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)
Labour Force Survey (LFS 14), September 2006
The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in the country. It also provides insight into 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)
Community Survey, 2007
Censuses 1996 and 2001 are the only all-inclusive censuses that Statistics South Africa has thus far conducted under the new democratic dispensation. Demographic and socio-economic data were collected and the results have enabled government and all other users of this information to make informed decisions. When cabinet took a decision to move away from the 5-year to 10-year censuses, that created a gap in information or data between Census 2001 and the next Census scheduled to be carried out in 2011. A decision was therefore taken to carry out the Community Survey in 2007. The Community Survey (CS) is a nationally representative, large-scale household survey which was conducted from February to March 2007. The Community Survey is designed to provide information on the trends and levels of demographic and socio-economic data, such as population size and distribution; the extent of poor households; access to facilities and services, and the levels of employment/unemployment at national, provincial and municipality level. The data can be used to assist government and the private sector in the planning, evaluation and monitoring of programmes and policies. The information collected can also be used to assess the impact of socio-economic policies and provide an indication as to how far the country has gone in its strides to eradicate poverty
Labour Force Survey (LFS 13), March 2006
The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in the country. It also provides insight into 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)
The South African Labour Force Survey Panel 2006
The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in the country. It also provides insight into 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). In panel studies data are collected repeatedly, using the same units (e.g. individuals, households, enterprises, etc.). The advantage of using longitudinal surveys is to account for the difference between net and gross change. Gross change is only visible in longitudinal data. Lastly, repeated observations on individuals allow for the possibility of controlling unobserved differences between individuals by using fixed and random effect models