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May 25, 20260 citationsOpen Access

An overview of the geographic data of unemployment in South Africa

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HCHuman Sciences Research Council

Key Points

  • The aim is to provide a comprehensive overview of geographic data related to unemployment in South Africa to inform strategy development.
  • Comparison of various data sets from national surveys and censuses on unemployment.
  • Analysis of spatial data by municipality to uncover trends over time.
  • Exploration of the aggregation of data to address modifiable areal unit problems.
  • Census data reveals more spatial detail compared to labour force survey data.
  • Census data prior to 1991 may not accurately reflect post-apartheid unemployment trends.
  • Recommendations made to use census data from specific years to illuminate spatial unemployment trends.

Abstract

Global unemployment has risen in the past few years. Spatial data are required to address the problem effectively. South African unemployment literature focused mostly at a national level of spatial analysis. Some literature refer to spatial aspects that affect unemployment trends, but does not assign a location, e.g. a suburb or municipality. Little research has compared spatial patterns of unemployment over time. This article provides a synopsis of the available South African geographic data to address the challenge of unemployment. Data sets from official national surveys and censuses are compared by spatial extent and associated attributes. The representation of change over time is explored and aggregation to a common boundary such as municipalities is suggested to overcome modifiable areal unit problems. Census data are spatially more detailed than labour force survey data, and census data from pre1991 might not reflect the post-apartheid labour trends effectively. It is recommended that data from census 1991, 1996 and 2001, as well as Community Survey 2007 be used to understand detailed spatial trends of South African unemployment. Knowing the location of the unemployed directs the spending of development funding and job creation interventions.

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Cite This Study

Human Sciences Research Council (2026) studied this question.

synapsesocial.com/papers/6a13e7cf0e02ee3982d32774https://doi.org/10.14749/32388042
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