Housing conditions and extreme weather exposure in low-income communities in Gauteng Province, South Africa

This study examined the association between housing quality indicators and household exposure to extreme weather in low-income urban communities in Johannesburg, South Africa. A cross-sectional analytical study was conducted using baseline household-level data from 46 112 households. The primary outcome was self-reported household exposure to extreme weather (affected vs not affected). Housing quality was assessed using three indicators: dwelling type (formal vs informal), building type (single-floor vs multi-floor), and number of structures on the dwelling (single vs multiple). Descriptive statistics, chi-square tests, and logistic regression models were used to estimate crude and adjusted odds ratios (ORs and AORs) with 95% confidence intervals (CIs). Overall, 2.5% of households reported exposure to extreme weather. Exposure was higher among households in informal dwellings (4.9%) than formal dwellings (1.6%). In adjusted analyses, informal dwellings were associated with three times higher odds of exposure (AOR = 3.02; 95% CI: 2.67-3.41), while multiple-structure sites had 74% higher odds of exposure (AOR = 1.74; 95% CI: 1.42-2.14). In contrast, multi-floor buildings had lower odds of exposure (AOR = 0.43; 95% CI: 0.38-0.49). These findings should be interpreted as associations rather than causal relationships. Informal dwellings and multiple-structure sites were associated with increased exposure to extreme weather.

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Publication Details

Journal
Cities & Health
Published
2026-07-16
DOI
https://doi.org/10.1080/23748834.2026.2693298
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

Housing conditions and extreme weather exposure in low-income communities in Gauteng Province, South Africa

Phoka Caiphus Rathebe, Tintswalo Hlungwani, Khuthatshelo Vincent Mphaga, Themba Titus Sigudu et al.
Cities & Health
Climate Change and Health Impacts
article

Housing conditions and extreme weather exposure in low-income communities in Gauteng Province, South Africa

Phoka Caiphus Rathebe, Tintswalo Hlungwani, Khuthatshelo Vincent Mphaga, Themba Titus Sigudu, Masilu D. Masekameni
article en

Abstract

This study examined the association between housing quality indicators and household exposure to extreme weather in low-income urban communities in Johannesburg, South Africa. A cross-sectional analytical study was conducted using baseline household-level data from 46 112 households. The primary outcome was self-reported household exposure to extreme weather (affected vs not affected). Housing quality was assessed using three indicators: dwelling type (formal vs informal), building type (single-floor vs multi-floor), and number of structures on the dwelling (single vs multiple). Descriptive statistics, chi-square tests, and logistic regression models were used to estimate crude and adjusted odds ratios (ORs and AORs) with 95% confidence intervals (CIs). Overall, 2.5% of households reported exposure to extreme weather. Exposure was higher among households in informal dwellings (4.9%) than formal dwellings (1.6%). In adjusted analyses, informal dwellings were associated with three times higher odds of exposure (AOR = 3.02; 95% CI: 2.67-3.41), while multiple-structure sites had 74% higher odds of exposure (AOR = 1.74; 95% CI: 1.42-2.14). In contrast, multi-floor buildings had lower odds of exposure (AOR = 0.43; 95% CI: 0.38-0.49). These findings should be interpreted as associations rather than causal relationships. Informal dwellings and multiple-structure sites were associated with increased exposure to extreme weather.

Cities & Health
University of South Africa (ZA), University of the Witwatersrand (ZA), University of Johannesburg (ZA)
National Research Foundation
Sustainable cities and communities
Openalex Percentile: Top 9%
Climate Change and Health Impacts
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