Published February 28, 2026 | Version v1.0
Dataset Open

Dataset for: Spatial patterns of environmental injustice in social vulnerability and ambient dust levels across Australia

Authors/Creators

  • 1. School of Population Health, Curtin University, Perth, Western Australia 6102, Australia
  • 2. Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, USA.
  • 3. UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, UK

Contributors

Supervisor:

  • 1. School of Population Health, Curtin University, Perth, Western Australia 6102, Australia

Description

This repository contains the processed, area-level dataset used in the study “Spatial patterns of environmental injustice in social vulnerability and ambient dust levels across Australia”. The dataset integrates composite and thematic Social Vulnerability Index (SVI) scores (Theme1–Theme5) with ambient dust concentration estimates, aggregated to 2016 Australian Statistical Geography Standard (ASGS) units across Australia.

Theme1: Socioeconomic vulnerability; Theme2: Demographics/Disability vulnerability; Theme3: Minority and Languages or Cultural vulnerability; Theme4: Housing vulnerability; Theme5: Built environment or Infrastructural vulnerability.

Dataset authors: Sylvester Dodzi Nyadanu (Data Curator), Siqin Wang (Producer), Massimo Vieno (Producer); Contributors: Gizachew A. Tessema (Researcher), Gavin Pereira (Supervisor). See README.txt for full details.

SVI measures were derived from Wang et al. (2022), Scientific Reports, 12(1):13665.

The 2021 ambient mineral dust used in the study was estimated from the EMEP MSC-W model version rv4.45. The chemical transport model code is publicly available at https://github.com/metno/emep-ctm

Spatial boundaries were based on ASGS 2016 shapefiles (ABS Catalogue No. 1270.0.55.001, July 2016 release).

The repository includes Dust_environmental_injustice_Australia.csv (SA1-level identifiers, rural/urban CODE, SVI, Theme1–Theme5, Dust) and README.txt with full documentation.

No individual-level data or shapefiles are included.

Users should cite both the original source (Wang et al., 2022) and the associated published paper (Nyadanu et al., 2026).

Files

Dust_environmental_injustice_Australia.csv

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