Topics covered in the questionnaire are: socio-demographic and family characteristics, participation in other programmes/ interventions, relationship status, knowledge of HIV/AIDS and sexually transmitted diseases, socially accepted practices, HIV prevention knowledge, pregnancy history, intimate partner violence, sexual risk behaviour, attitudes towards HIV, self-efficacy, social support systems and body-image.

The data set for dissemination contains 3061 cases and 509 variables.

Topics covered in the questionnaire are: demographic information, education and employment, relationship with family and children, economic status, HIV/AIDS knowledge, race relations, youth risk behaviour (alcohol, drug and sex), political perceptions, trust and active citizenship.

The data set for dissemination contains 317 variables and 561 cases from the expected 700 which represented 80.1% response rate.

Within each of the seven selected areas, cluster samples were selected, with the intention of realising a minimum of 20 households and five businesses/institutions per area. In most cases these targets were exceeded.

The data set for dissemination contains 311 cases and 78 variables.

In the combined data set three individual data sets were merged; parents/guardians for children to 11 years, children 12 to 14 years, youths and adults 15 years and older.

The data set has modules that contain information on biographical data, orphan status, school attendance, media, communication and norms, knowledge, attitudes, beliefs and values about HIV/AIDS, sexual history, sexually transmitted infections, delivery and care details, male circumcision, HIV testing and risk perception, drug and alcohol use, health status, and violence in relationships. The datasets also contains biological markers such as HIV status, exposure to ARVs, viral load suppression and HIV drug resistance.

The data set contains 1 090 variables and 66 615 cases.

The data set contains information regarding the identity document survey that was done for the South African Electoral Committee (IEC) during 1998.

The file contains 50 variables and 23 577 cases.

The data set reflects the focus group discussion that aimed to unpack the discursive construction of perceptions on the state of the youth in the Gauteng Province, as well as obtain views on the Tshepo 1 Million programme, an employment support entity of the Gauteng Office of the Premier.

Fifteen participants participated in the discussion.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

This data set contains the aggregated data on the R&D expenditure of businesses, Government, Higher Education, Not-for-Profit Organisations, Science Councils and Research Institutions & Museums for the 2004/05 survey.

Subsequent to the dissemination of version 1 of the 2004-05 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2006-07 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2007-08 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2008-09 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2009-10 on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2009-10 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2010-11 on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2010-11 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2011-12 on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2011-12 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2012-13 on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2012-13 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2013-14 on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Subsequent to the dissemination of version 1 of the 2013-14 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

Subsequent to the dissemination of version 1 of the 2013-14 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

Interviews with experts on women's economic empowerment and the blue economy in the Indian Ocean Rim were conducted. Although women have played an important economic role in the Indian Ocean for generations, they face a multitude of barriers to full economic inclusion in the Indian Ocean's Blue Economy. This qualitative dataset focuses on the Blue Economy as a vehicle for women’s economic empowerment.

The initial target interviews were 10 but 8 interviews were conducted. The realisation rate is therefore 80%.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

The data set contains access to basic public services data in selected villages: 11 villages in 4 IPRDP district demonstration municipalities (Amathole, Chris Hani, Capricorn, Gert Sibande); and 4 comparison sites in 2 IPRDP demonstration municipalities (Sekhukhune; Ehlanzeni) and 2 non-demonstration municipalities (Ugu; Alfred Nzo).