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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.

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.

• How ready is South African policy for IID
• Information and communication technologies in basic education
• Innovation partnerships for rural development programme
• SASTEP innovation sanitation technology
• Why do development projects fail?

The data set consists of 35 second transcribed interviews with South Africa's township youth in the Western Cape.

Participants came from one class in a Langa township school, and from one class in a nearby suburban school. The sample is 37, 31 from the township school and 6 from the suburban school. The six participants from the suburban school all live in Langa. Not all participants from the township school live in Langa.

The data set consists of 37 first and 34 third transcribed interviews with South Africa's township youth in the Western Cape.

Participants came from one class in a Langa township school, and from one class in a nearby suburban school. The sample is 37, 31 from the township school and 6 from the suburban school. The six participants from the suburban school all live in Langa. Not all participants from the township school live in Langa.

The data set comprises the raw data from the 979 valid completed Innovation Survey questionnaires from the 979 private sector business enterprises plus the weightings for each cell defined by one of four size classes and Standard Industrial Classification (SIC) sub-sector. The data set has restricted access for the project team only.

The data set comprises the raw data from the 757 valid completed Innovation Survey questionnaires from the 757 private sector business enterprises plus the weightings for each cell defined by one of four size classes and Standard Industrial Classification (SIC) sub-sector.

This data set contains the responses of South African business enterprises on their innovation activities carried out between 2010 and 2012. In completing the questionnaire, enterprises followed a skip pattern, e.g., depending on whether or not they had carried out product or process innovation during the period covered by the survey.

This data set contains the responses of South African business enterprises on their innovation activities carried out between 2014 and 2016. In completing the questionnaire, enterprises followed a skip pattern, e.g., depending on whether or not they had carried out product or process innovation during the period covered by the survey.

Of the targeted businesses of 4 191, 642 responses (15%) were realised.

There are 259 variables and 642 cases in the data set.

This aggregated data set contains the responses of South African business enterprises on their innovation activities carried out between 2014 and 2016. In completing the questionnaire, enterprises followed a skip pattern, e.g., depending on whether or not they had carried out product or process innovation during the period covered by the survey.

This data set contains the responses of Offices of Technology Transfer (OTT) directors who participated in the IP & TT survey. This survey also contains a qualitative component.

The IPDM questionnaire survey data is part of the IPDM/STEPSA project's spatial planning exercise, and was aimed at supplying detailed migration history data for 8 provinces (Gauteng, Limpopo, North West, Mpumalanga, KZN, Eastern Cape, Western Cape and Free State), together with respondent data on household structure and economy, transport access and needs, and housing access and needs.

The data set contains 3114 variables and 5916 cases.

The IPDM questionnaire survey data is part of the IPDM / STEPSA project's spatial planning exercise, and was aimed at supplying detailed migration history data in the major migration corridors in South Africa, (Gauteng, northern parts of Mpumalanga and Sekhukhune district in Limpopo) together with respondent data on household structure and economy, transport access and needs, and housing access and needs.

The 2008 Phase 1a dataset contains more detailed migration and housing information.

The data set contains 1664 variables and 2865 cases.

The IPDM questionnaire survey data is part of the IPDM / STEPSA project's spatial planning exercise, and was aimed at supplying detailed migration history data for the northern parts of Limpopo, North West, Free State, KwaZulu-Natal, Eastern Cape and Western Cape, together with respondent data on household structure and economy, transport access and needs, and housing access and needs.

The 2010 Phase 1b data contains proportionately more transport information and devotes less space to migration.

The data set contains 2461 variables and 3051 cases.

The data set contains household demographic 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).