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An Australian geography of unhealthy housing
Author(s) -
Baker Emma,
Lester Laurence,
Beer Andrew,
Bentley Rebecca
Publication year - 2019
Publication title -
geographical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.695
H-Index - 47
eISSN - 1745-5871
pISSN - 1745-5863
DOI - 10.1111/1745-5871.12326
Subject(s) - neighbourhood (mathematics) , accommodation , housing tenure , distribution (mathematics) , geography , psychological intervention , population , australian population , demographic economics , economic growth , socioeconomics , environmental health , economics , medicine , psychology , mathematics , psychiatry , mathematical analysis , neuroscience
Housing problems, such as affordability, poor quality of condition, or damp, are key determinants of health and wellbeing. Importantly, though, a growing body of research has shown that unhealthy housing is the combined result of multiple housing problems acting together. Although the spatial distribution of discrete housing problems is well established, little is known of Australia's geography of unhealthy housing. We have previously defined and validated an Australian Index of Housing Insults, which captures the multiple ways in which housing adversely influences individual health—including, but not limited to, people's tenure security, affordability, quality, and neighbourhood characteristics. Using the Household Income and Labour Dynamics in Australia (HILDA) dataset, a nationally representative longitudinal survey of Australian households, this paper describes Australia's geography of unhealthy housing. The analysis examines the prevalence, characteristics, and distribution of the population who are vulnerable to unhealthy housing. Our findings reveal both a worsening landscape of households at risk because of their accommodation and a changing pattern of unhealthy housing in Australia over time. The paper considers how these findings may impact future policy settings and the potential to improve the health of Australia's population through targeted housing interventions.