Key Takeaways
- Global economic cost of depression: $1 trillion lost productivity yearly.
- US mental illness costs $193.2 billion in lost earnings annually.
- Anxiety disorders cost global economy $1 trillion per year in productivity losses.
- Suicide attempts cost US healthcare $578 million annually.
- Globally, 703,000 people die by suicide yearly (2021).
- Suicide is the 2nd leading cause of death in US ages 10-14.
- In 2019, approximately 970 million people globally were living with a mental disorder, with anxiety (301 million) and depressive disorders (280 million) being the most common.
- Anxiety disorders affected 301 million people worldwide in 2019, making it the most prevalent mental disorder.
- Depressive disorders impacted 280 million people globally in 2019, ranking as the second most common mental disorder.
- Women are nearly twice as likely as men to be diagnosed with depression (10.5% vs 5.5% past year in US).
- Individuals aged 18-25 have the highest prevalence of serious mental illness at 11.4% in US 2022.
- Poverty increases risk of mental disorders by 2-3 times.
- Only 42% of US adults with mental illness received treatment in 2021.
- 55% of US children with mental health disorders received treatment in 2021.
- Antidepressant use increased 65% from 1999-2014 among US adults.
Mental disorders are widespread and costly, costing the world about $1 trillion yearly in lost productivity.
Economic Burden
Economic Burden Interpretation
Mortality and Suicide
Mortality and Suicide Interpretation
Prevalence and Incidence
Prevalence and Incidence Interpretation
Risk Factors and Demographics
Risk Factors and Demographics Interpretation
Treatment and Recovery
Treatment and Recovery 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.
David Sutherland. (2026, February 13). Mental Health Disorder Statistics. Gitnux. https://gitnux.org/mental-health-disorder-statistics
David Sutherland. "Mental Health Disorder Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/mental-health-disorder-statistics.
David Sutherland. 2026. "Mental Health Disorder Statistics." Gitnux. https://gitnux.org/mental-health-disorder-statistics.
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