ZAF_2008-2011_NIDSAD_v01_M
National Income Dynamics Study Administrative Dataset
Waves 1&2 (2008, 2010-2011)
Name | Country code |
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South Africa | ZAF |
Income/Expenditure/Household Survey [hh/ies]
The National Income Dynamics Study (NIDS) is a face-to-face longitudinal survey of individuals living in South Africa as well as their households. The survey was designed to give effect to the dimensions of the well-being of South Africans, to be tracked over time. At the broadest level, these were:
Wealth creation in terms of income and expenditure dynamics and asset endowments;
Demographic dynamics as these relate to household composition and migration;
Social heritage, including education and employment dynamics, the impact of life events (including positive and negative shocks), social capital and intergenerational developments;
Access to cash transfers and social services
Wave 1 of the survey, conducted in 2008, collected the detailed information for the national sample. In 2010/2011 Wave 2 of NIDS re-interviewed these people, gathering information on developments in their lives since they were interviewed first in 2008. As such, the comparison of Wave 1 and Wave 2 information provides a detailed picture of how South Africans have fared over two years of very difficult socio-economic circumstances.
This administrative dataset is for schools attended by NIDS respondents. The dataset was created by matching the names of schools with Department of Education (DoE) registered lists of schools in South Africa. A detailed description of the matching process is provided in the user manual, which includes a description of the inherent limitations associated with conducting such an exercise.
Administrative records data [adm]
The units of analysis in the dataset are schools
v1: Edited, anonymised dataset for public distribution.
2012-11-29
Version 1 of the National Income Dynamics Study Waves 1&2 2008 Administrative Dataset was released on 20121129
The data is on the schools attended by NIDS respondents.This covers the Province in which the school is situated, the education phase of the school (primary, secondary, combined), the learner-teacher ratio in the school, whether the school is a fee-paying school, and under which authority the school was originally located (DET, WCED).
The survey had national coverage
The lowest level of geographic aggregration covered by the dataset is province. Data that includes the full geo-coding is available for use at the NIDS operations office at the University of Cape Town. Applications to use this data can be made by emailing: nids-survey@uct.ac.za
The target population for NIDS was private households in all nine provinces of South Africa, and residents in workers' hostels, convents and monasteries. The frame excludes other collective living quarters, such as student hostels, old age homes, hospitals, prisons and military barracks.
Name | Affiliation |
---|---|
Southern Africa Labour and Development Research Unit | University of Cape Town |
Affiliation | Role |
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SALDRU, University of Cape Town | Project Manager |
Name | Role |
---|---|
The Presidency, Government of South Africa | Funder |
Start | End | Cycle |
---|---|---|
2008 | 2010-02 | Wave 1 |
National Income Dynamics Study (NIDS) supervisory staff
Name | Affiliation | URL |
---|---|---|
National Income Dynamics Study | University of Cape Town | http://www.nids.uct.ac.za |
DataFirst | University of Cape Town | http://www.datafirst.uct.ac.za |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
---|---|
yes | Registering to use the NIDS data includes agreement that the data user will not attempt to identify specific individuals from the data. |
Southern Africa Labour and Development Research Unit. 2012. National Income Dynamics Study Waves 1&2, 2008-2011: Administrative Dataset [dataset]. Version 1. Cape Town: Southern Africa Labour and Development Research Unit [producer], 2012. Cape Town: DataFirst [distributor], 2012.
The original collector of the data (The National Income Dynamics Study), the distributor (DataFirst), and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | URL | |
---|---|---|---|
NIDS Project | University of Cape Town | nids-survey@uct.ac.za | |
DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
DDI_ZAF_2008-2011_NIDSAD_v01_M
Name | Affiliation | Role |
---|---|---|
DataFirst | University of Cape Town | Metadata creation |
2012-12-06
Version 1.1