A guide to using measures of socio-economic status, remoteness and population denominators from the Australian Bureau of Statistics for epidemiological studies

Objective Australian Bureau of Statistics data on socio-economic status, service accessibility/remoteness and population denominators are useful in epidemiology, though complex to understand and apply. We provide information and resources to facilitate their use. Methods We compiled data from the Socio-Economic Indexes for Areas (SEIFA), the Accessibility/Remoteness Index of Australia (ARIA) and population estimates from across multiple years, taking into account changes in availability and formats of these data over time. Syntax was written to support use of these data in studies using administrative health data, alongside a user guide with notes and instructions. Results Where research data contains an event date plus a postcode, Statistical Area Level 2 and/or Statistical Local Area, these resources can be used to attach a SEIFA score and decile, remoteness areas and age-sex-specific population denominators to each record for years 2000-2025 (population denominators to 2023). These variables can be used as cohort descriptors, as model covariates or to calculate ARIA/SEIFA stratified rates. Conclusions These resources are useful for individual research projects, while also contributing to building capacity in the use of geographical measures. We focused on the measures most commonly used in Australia, although the approach outlined can be applied to other geographical measures.

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Publication Details

Journal
Australian Health Review
Published
2025-05-18
DOI
https://doi.org/10.1071/ah24324
Citations
2
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
4.33
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article

A guide to using measures of socio-economic status, remoteness and population denominators from the Australian Bureau of Statistics for epidemiological studies

Nita Sodhi‐Berry, Judith Katzenellenbogen, David Youens, Ingrid Stacey et al.
2 citations
Australian Health Review
Health disparities and outcomes
4.33
article

A guide to using measures of socio-economic status, remoteness and population denominators from the Australian Bureau of Statistics for epidemiological studies

Nita Sodhi‐Berry, Judith Katzenellenbogen, David Youens, Ingrid Stacey, Marwan Ahmed
article en
2 citations

Abstract

Objective Australian Bureau of Statistics data on socio-economic status, service accessibility/remoteness and population denominators are useful in epidemiology, though complex to understand and apply. We provide information and resources to facilitate their use. Methods We compiled data from the Socio-Economic Indexes for Areas (SEIFA), the Accessibility/Remoteness Index of Australia (ARIA) and population estimates from across multiple years, taking into account changes in availability and formats of these data over time. Syntax was written to support use of these data in studies using administrative health data, alongside a user guide with notes and instructions. Results Where research data contains an event date plus a postcode, Statistical Area Level 2 and/or Statistical Local Area, these resources can be used to attach a SEIFA score and decile, remoteness areas and age-sex-specific population denominators to each record for years 2000-2025 (population denominators to 2023). These variables can be used as cohort descriptors, as model covariates or to calculate ARIA/SEIFA stratified rates. Conclusions These resources are useful for individual research projects, while also contributing to building capacity in the use of geographical measures. We focused on the measures most commonly used in Australia, although the approach outlined can be applied to other geographical measures.

Australian Health ReviewVol. 49(3)
The University of Western Australia (AU), Victor Chang Cardiac Research Institute (AU), Curtin University (AU)
Good health and well-being
Openalex Percentile: Top 7%
Health disparities and outcomes
4.33
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A guide to using measures of socio-economic status, remoteness and population denominators from the Australian Bureau of Statistics for epidemiological studies — Nita Sodhi‐Berry, Judith Katzenellenbogen, et al. · Australian Health Review (2025) | TGRS Research Map | TGRS