Overview
Identification
Country
South AfricaTitle
National Income Dynamics Study 2017
Subtitle
Wave 5
Study Type
Household Survey ID Number zaf-saldru-nids-2017-v1.0.0 |
Version
Version Description
v1.0.0: Edited, anonymised dataset for public distribution.
Notes
Version 1.0.0 of the National Income Dynamics Study Wave 5 2017 public release dataset was produced on the 13th of August 2018.
Overview
Abstract
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.
Kind of Data
Sample survey data [ssd]
Units of Analysis
Households and individuals
Scope
Notes
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
Keywords
Agriculture, Shocks, Demography, Intra-household allocation, Health, Education, Migration, Remittances, Integration, Credit, Assets, Social networks, Social cohesion
Coverage
Geographic Coverage
The NIDS data is nationally representative. The survey began in 2008 with a nationally representative sample of over 28,000 individuals in 7,300 households across the country. The survey is repeated every two years with these same household members, who are called Continuing Sample Members (CSMs). The survey is designed to follow people who are CSMs, wherever they may be in SA at the time of interview. The NIDS data is therefore, by design, not representative provincially or at a lower level of geography (e.g. District Council).
Geographic Unit
The lowest level of geographic aggregation in the NIDS public release data is District Municipality. However, the data is not representative at any level but the national level. Data that includes household-level geo-coding is available for use in DataFirst's Secure Centre at the University of Cape Town.
Universe
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.
Producers and Sponsors
Primary Investigator(s)
| Name | Affiliation |
|---|
|
Southern Africa Labour and Development Research Unit
| University of Cape Town |
| |
Other Producer(s)
| Name | Affiliation | Role |
|---|
|
Department of Planning, Monitoring and Evaluation
| Government of South Africa | Commissioners of Wave 4 |
Funding
| Name | Abbreviation | Role |
|---|
|
Department of Planning, Monitoring and Evaluation
| Presidency, Government of South Africa | Funding agency |
Metadata Production
Metadata Produced By
| Name | Abbreviation | Affiliation | Role |
|---|
| DataFirst | DataFirst | University of Cape Town | Metadata creation |
Date of Metadata Production
2020-09-11
DDI Document Version
Version 2
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