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agricultural-surveys

National Income Dynamics Study 2012

South Africa, 2012
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Reference ID
ZAF_2012_NIDS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Southern Africa Labour and Development Research Unit
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 07, 2020
Last modified
Nov 03, 2020
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40400
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ZAF_2012_NIDS-W3_v01_EN_M_v01_A_OCS

    Title

    National Income Dynamics Study 2012

    Country
    Name Country code
    South Africa ZAF
    Study type

    Income/Expenditure/Household Survey [hh/ies]

    Series Information

    This is the third wave of the National Income Dynamics Study in South Africa. Wave 3 of the survey took place between April and December 2012 and re-interviewed respondents from Waves 1 and 2.

    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]

    Unit of Analysis

    Households

    Scope

    Notes

    Data on the following topics was collected during the 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
    Topics
    Topic Vocabulary
    Agriculture & Rural Development FAO
    Financial Sector FAO
    Access to Finance FAO
    Children & Youth FAO
    Social protection FAO
    Community Driven Development FAO
    Health FAO

    Coverage

    Geographic Coverage

    National

    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 investigators
    Name Affiliation
    Southern Africa Labour and Development Research Unit University of Cape Town
    Funding Agency/Sponsor
    Name Role
    Department of Planning, Monitoring and Evaluation Financial assistance

    Sampling

    Sampling Procedure

    A stratified, two-stage cluster sample design was employed in sampling the Dwelling units to be included in the base wave. In the first stage, a sample of 400 Primary Sampling Units (psus)2 was drawn (by statisticians at Stats SA) from Stats SA's 2003 Master Sample of 3000 psus. At the time that the 2003 Master Sample was compiled, eight non-overlapping samples of ten or twelve dwelling Units were systematically drawn within each PSU. Each of these samples is termed A “cluster” by Stats SA. These clusters were then allocated to the various household Surveys that were conducted by Stats SA between 2004 and 2007 (such as the Labour Force Surveys, General Household Surveys and the 2005/06 Income and Expenditure Survey). However, two clusters in each PSU were never used by Stats SA and these were allocated to NIDS.

    In the first stage, a sample of 400 PSUs had to be drawn from the 3000 PSUs in the Master Sample. The explicit strata in the Master Sample are the 53 district councils (DCs). The sample was proportionally allocated to these 53 strata and PSUs were selected within strata with probability proportional to size. It should be noted that the sample was not designed to be representative at provincial level, implying that analysis of the results at the province level is not recommended.

    Weighting

    Two sets of calculations were necessary in deriving the design weights. First there is a calculation of the probability of sampling each PSU and, second, there is a calculation about the probability of including each specific household in each PSU in the NIDS sample. The latter corrects for household nonresponse.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2012-03 2012-04 Wave 3

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes https://microdata.worldbank.org/index.php/terms-of-use
    Access conditions

    https://microdata.worldbank.org/index.php/terms-of-use

    Citation requirements

    Southern Africa Labour and Development Research Unit. National Income Dynamics Study Wave 3, 2012 [dataset]. Version 2.1. Cape Town: Southern Africa Labour and Development Research Unit [producer], 2016. Cape Town: DataFirst [distributor], 2016.

    Disclaimer and copyrights

    Disclaimer

    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.

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town [email protected] http://support.data1st.org/

    Metadata production

    DDI Document ID

    DDI_ZAF_2012_NIDS-W3_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Adoption of metadata for FAM
    DataFirst University of Cape Town Metadata creation
    Southern Africa Labour and Development Research Unit University of Cape Town Data documentation

    Metadata version

    DDI Document version

    ZAF_2012_NIDS-W3_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
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