Hidden spatial inequalities in youth unemployment in Gauteng: need for place-based interventions

One of South Africa’s most persistent socioeconomic challenges is youth unemployment with rates among young people consistently higher than the national average. This study examined the spatial variation of youth unemployment in Gauteng province using data from the Gauteng City-Region Observatory (GCRO) Quality of Life Survey 7 (2023/24). Geographically Weighted Regression (GWR) was used to show how the relationships between youth unemployment and significant socioeconomic factors vary across space, instead of assuming that these relationships are uniform across the province. Youth dissatisfaction with government job creation initiatives, educational attainment, perceived job difficulties in finding work, gender and living in informal dwellings are the main focus of the analysis. Significant spatial heterogeneity was noticed in the GWR results, with Ekurhuleni, Sedibeng and parts of City of Johannesburg showing stronger associations between youth unemployment and these factors. The determinants of youth unemployment are highly place-specific as indicated by the significant variation in local model performance across wards (local R2 ranging from 0.39 to 0.77). These findings demonstrate that highly variable local factors influence youth unemployment in Gauteng and that place based, spatially focused policy interventions are required rather than uniform, province-wide solutions.

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Publication Details

Journal
Figshare
Published
2026-03-04
DOI
https://doi.org/10.14749/31485481
Primary Topic
Urban, Neighborhood, and Segregation Studies
Type
article
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article

Hidden spatial inequalities in youth unemployment in Gauteng: need for place-based interventions

Human Sciences Research Council (18851275)
Figshare
Urban, Neighborhood, and Segregation Studies
article

Hidden spatial inequalities in youth unemployment in Gauteng: need for place-based interventions

Human Sciences Research Council (18851275)
article en

Abstract

One of South Africa’s most persistent socioeconomic challenges is youth unemployment with rates among young people consistently higher than the national average. This study examined the spatial variation of youth unemployment in Gauteng province using data from the Gauteng City-Region Observatory (GCRO) Quality of Life Survey 7 (2023/24). Geographically Weighted Regression (GWR) was used to show how the relationships between youth unemployment and significant socioeconomic factors vary across space, instead of assuming that these relationships are uniform across the province. Youth dissatisfaction with government job creation initiatives, educational attainment, perceived job difficulties in finding work, gender and living in informal dwellings are the main focus of the analysis. Significant spatial heterogeneity was noticed in the GWR results, with Ekurhuleni, Sedibeng and parts of City of Johannesburg showing stronger associations between youth unemployment and these factors. The determinants of youth unemployment are highly place-specific as indicated by the significant variation in local model performance across wards (local R2 ranging from 0.39 to 0.77). These findings demonstrate that highly variable local factors influence youth unemployment in Gauteng and that place based, spatially focused policy interventions are required rather than uniform, province-wide solutions.

Figshare
Decent work and economic growth
Openalex Percentile: Top 41%
Urban, Neighborhood, and Segregation Studies
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