New data releases.

Evaluating an incentivised behaviour change intervention (IBCI), 2018-2019: Young women, aged 19-24 years - King Cetshwayo district, KwaZulu Natal

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.

Gauteng State of the Youth Survey (GSYS) 2018-19: Gauteng, South Africa

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.

Adaptation to the Western Cape drought of 2016-18 (WCD), 2019: Household and business survey

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.

South African Identity document study (ID) 1998 - All provinces

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.

Gauteng State of the Youth Interviews (GSYI) 2018-19: Gauteng, South Africa

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.

National Research and Experimental Development Survey (R&D) 2017-18: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2004-05: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2006-07: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2007-08: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2008-09: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2009-10: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2010-11: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2011-12: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2012-13: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2013-14: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2014-15: All provinces in South Africa - Aggregated

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.

National Research and Experimental Development Survey (R&D) 2015-16: All provinces in South Africa - Aggregated

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.

A Blue Economy for Women's Economic Empowerment (BEWEE), 2018-19

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%.

National Research and Experimental Development Survey (R&D) 2016-17: All provinces in South Africa - Aggregated

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.

Innovation Partnership for Rural Development Programme (IPRDP) 2017 Community Impact Assessment Round 1 (CIA1) - Access to public services in four provinces in South Africa

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).

Assessment of the mental health impact on children of having a parent die of AIDS (TRMHO), 2013: Teacher reports - Mangaung, North-West Province

Ten reports were written by teachers on their experience of using the Strength and Difficulties Questionnaire on adolescents in Mangaung and on the perceived mental health problems being experienced by the adolescent in their classrooms.

South African National Health and Nutrition Examination Survey (SANHANES-1) 2011-12 Impact assessment (SANHANES-1IMPACT), 2017: Interviews

As part of the assessment of the impact of findings of the South African National Health and Nutrition Examination Survey (SANHANES-1) 2011-12 in respect only of Non-Communicable Diseases (NCDs), in-depth interviews with relevant parties. The evaluation consisted of five output, outcome and impact categories, i.e. knowledge, benefits to future research and research use, benefits from informing policy and product development, health and health sector benefits, and broader social and economic benefits.

The data set contains a summary of 14 interviews conducted with participants ranging from a senior medical researcher to a PHD student.

The realised respondent interviews comprised 3 South African medical academic researchers; 4 members of the SANHANES-1 research team; 5 government officials (Department of Health and Treasury); 1 PhD student; and 1 foreign researcher. Three HSRC communications staff provided information about media and social media outputs. Despite several attempts, 2 other key high-profile stakeholders could not be interviewed.

The socioeconomic dimensions of farming systems and rural farmer households in the context of food security: New generation vaccine programme 2016 (KAPP Vaccines) - Five provinces in South Africa

This dataset contains the responses of smallholder farmers who kept cattle, or any combination of cattle with small stock (sheep and goats) across five provinces in South Africa.

The questionnaire includes questions on household demographics, source of income, livestock keeping activities and facilities and disease control measures. The aim of this study was to identify livestock farmers' knowledge, attitudes, practices and perceptions (KAPP) on primary animal healthcare with a special focus on vaccinations.

The data contains 191 variables and 591 cases.