ZAF_2014_NIDS-W4_v01_M
National Income Dynamics Study 2014-2015
Wave 4
Name | Country code |
---|---|
South Africa | ZAF |
Income/Expenditure/Household Survey [hh/ies]
This is wave 4 of the panel survey. Wave 1 was conducted in 2008, wave 2 in 2010-2011 and wave 3 in 2012. Wave 1 collected the detailed information for the national sample. Waves 2 to 4 of the panel survey re-interviewed respondents interviewed in previous waves, gathering information on developments in their lives over the years.
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
Sample survey data [ssd]
The units of analysis in the survey are individuals and households.
v1: Edited, anonymised dataset for public distribution.
2016-05-12
Version 1 of the National Income Dynamics Study wave 4 2014-2015 public release dataset was produced on the 12th of May 2016
Data on the following topics was collected during the panel survey:
HOUSEHOLD: Household characteristics, household roster, mortality history, living standards, expenditure, consumption, negative events, positive events, agriculture
ADULTS: Demographics, education, labour market participation, income, health, well-being, numeracy, anthropometric data
CHILDREN: Education, health, family support, grants, anthropometric data, numeracy
The survey had national coverage
The lowest level of geographic aggregration covered by the dataset is District Municipality.
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 |
Name | Affiliation | Role |
---|---|---|
Department of Planning, Monitoring and Evaluation | Government of South Africa | Commissioners of Wave 4 |
Name | Role |
---|---|
Department of Planning, Monitoring and Evaluation | Funder |
Start | End | Cycle |
---|---|---|
2014-09 | 2015-08 | Wave 4 |
National Income Dynamics Study (NIDS) supervisory staff
DataFirst (University of Cape Town)
DataFirst (University of Cape Town)
https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/570
Cost: None
Name | Affiliation | URL | |
---|---|---|---|
DataFirst | University of Cape Town | http://support.data1.st.org | support@data1st.org |
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. |
Public use data, available to all
Southern Africa Labour and Development Research Unit. National Income Dynamics Study 2014 - 2015, Wave 4 [dataset]. Version 1.0. Pretoria: Department of Planning, Monitoring, and Evaluation [commissioner]. Cape Town: Southern Africa Labour and Development Research Unit [producer], 2016. Cape Town: DataFirst [distributor], 2016.
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.
Copyright 2013, National Income Dynamics Study
Name | Affiliation | URL | |
---|---|---|---|
DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org |
DDI_ZAF_2014_NIDS-W4_v01_M
Name | Affiliation | Role |
---|---|---|
Southern Africa Labour and Development Research Unit | University of Cape Town | Data documentation |
DataFirst | University of Cape Town | Metadata creation |
2016-05-15
Version1.1 (May 2016)
This version is identical to DataFirst Version 1, except that the DDI and ID fields were edited to World Bank IDs.The series information was extracted from the abstract.