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South African Poverty indicators 1996 - 2001 Municipalities: All provinces

Version
1.0
Resource Type
Dataset
Creator
  • Weir-Smith, Gezina
  • Human Sciences Research Council
Publication Date
2014-09-30
Embargo End Date
2014-09-30
Contributor
  • Human Sciences Research Council (Producer)
Funding Reference
  • Human Sciences Research Council
Free Keywords
Schema: UK DATA ARCHIVE - HASSET
CENSUS DATA; MUNICIPALITY; POVERTY; POVERTY GAP
Description
  • Abstract

    Description: This is aggregated data of individuals or households. The data originates from the South African censuses of 1996 and 2001 and covers the whole country at a municipal level. In order to calculate the aggregate poverty gap a cross tabulation of household income by household size, municipality and population group was drawn from the 2001 census. The poverty gap of each poor household was summed to arrive at the aggregate poverty gap for each municipality.

    Abstract: New estimates of poverty show that the proportion of people living in poverty in South Africa has not changed significantly between 1996 and 2001. However, those households living in poverty have sunk deeper into poverty and the gap between rich and poor has widened. The Human Sciences Research Council (HSRC) in collaboration with Mr Andrew Whiteford, a South African economist, has generated these estimates. Approximately 57% of individuals in South Africa were living below the poverty income line in 2001, unchanged from 1996. Limpopo and the Eastern Cape had the highest proportion of poor with 77% and 72% of their populations living below the poverty income line, respectively. The Western Cape had the lowest proportion in poverty (32%), followed by Gauteng (42%). While the poverty rate measures the proportion of a region’s population living below the poverty line it does not give any indication of how far below the poverty line poor households are. For this the HSRC has used a measure called the poverty gap that measures the required annual income transfer to all poor households to bring them out of poverty. The HSRC study has shown that the poverty gap has grown from R56-billion in 1996 to R81-billion in 2001 indicating that poor households have sunk deeper into poverty over this period. In order to calculate the aggregate poverty gap a cross tabulation of household income by household size, municipality and population group was drawn from the 2001 census. The poverty gap of each poor household was summed to arrive at the aggregate poverty gap for each municipality. The Gini coefficient is a summary statistic of income inequality which varies from 0 (in the case of perfect equality where all households earn equal income) to 1 (in the case where one household earns all the income and other households earn nothing).

Geographic Coverage
  • South Africa (ZA)
Sampled Universe
All municipalities within the South African borders in 1996 and in 2001. In order to calculate the aggregate poverty gap a cross tabulation of household income by household size, municipality and race was drawn from the 2001 census.
Sampling
In order to calculate the aggregate poverty gap a cross tabulation of household income by household size, municipality and race was drawn from the 2001 census. Sampling is not applicable since the data used here refers to aggregated data of the universe. Census 1996 and 2001 = universe. For more information see www.statssa.gov.za.
Time Dimension
  • Time Series: Discrete
    Time Series: Discrete
Availability
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Rights
By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.
Other

Update Metadata: 2019-09-16 | Issue Number: 1440 | Registration Date: 2015-02-03

Weir-Smith, Gezina; Human Sciences Research Council (2014): South African Poverty indicators 1996 - 2001 Municipalities: All provinces. Version: 1.0. HSRC - Human Science Research Council SA. Dataset. http://doi.org/10.14749/1410430451