Key Takeaways
- In 2022-23, 2.7 million Australians (10.5%) received MH services
- Medicare-subsidised MH services: 13.2 million claims in 2022-23
- Psychologist sessions: 8.4 million under Better Access (2022-23)
- Children 4-17: 13.9% had mental disorder in 2013-14 (updated 2022 est.)
- Adolescents 13-17: 38% 12-month mental disorder (NSMHW 2020-22)
- Young adults 18-24: 34.1% 12-month prevalence (2020-22)
- Females overall: 46.6% lifetime vs 37.8% males (NSMHW)
- Males 12-month prevalence: 35.0% vs females 46.5% (2020-22)
- Indigenous males: 40% lifetime disorders vs 42% females
- MH Economic cost: $70 billion p.a. productivity loss (2023)
- Depression costs $12.6 billion annually in lost productivity (PwC 2020)
- Total MH burden: 12% of disease burden (GBD 2023)
- In 2020–2022, 42.9% of Australians aged 16 and over had experienced a 12-month mental disorder
- Lifetime prevalence of any mental disorder among Australians aged 16+ was 52.3% according to the NSMHW 2020-22
- Anxiety disorders affected 17.2% of Australians in the past 12 months (2020-22 NSMHW)
In Australia, millions use mental health services, yet many still face gaps in access, cost, and timely care.
Access to Services
Access to Services Interpretation
By Age Group
By Age Group Interpretation
By Gender and Demographics
By Gender and Demographics Interpretation
Prevalence and Incidence
Prevalence and Incidence Interpretation
Suicide Statistics
Suicide Statistics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Karl Becker. (2026, February 13). Australia Mental Health Statistics. Gitnux. https://gitnux.org/australia-mental-health-statistics
Karl Becker. "Australia Mental Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/australia-mental-health-statistics.
Karl Becker. 2026. "Australia Mental Health Statistics." Gitnux. https://gitnux.org/australia-mental-health-statistics.
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