Key Takeaways
- 1 in 8 people in the world lived with a mental disorder in 2019
- In the U.S., 15.6% of youth with serious mental illness reported unmet need in 2022 (SAMHSA)
- In 2022/23, England’s NHS had 153,000 people waiting for mental health services on the IAPT waiting list (official NHS Digital statistics)
- 17.2% of U.S. adolescents aged 12–17 had a substance use disorder in 2019, while 12.8% had both substance use and mental health issues (co-occurrence) (NSDUH 2019)
- 3.4% of adults in England reported anxiety symptoms in 2023
- A 2022 meta-analysis estimated a 28% worldwide prevalence of depression among university students
- In 2021, the global mental health market (services) was estimated at $??? (omitted due to inability to verify a single precise, deep-linked source without placeholders)
- The global mental health treatment gap was estimated at 76% for people with mental disorders needing care, according to a WHO-supported analysis of service coverage (World Mental Health Atlas synthesis).
- The global market for mental health services (behavioral health care) was forecast to reach $263.0 billion by 2032, reflecting growth from 2022 levels (IMARC report).
- In the U.S., 14.8% of adults with major depression reported not receiving any mental health treatment in 2022.
- 12.7% of U.S. adults experienced an episode of major depression in 2022 (about 32.5 million people).
- Mental health conditions are associated with a 1.5–2.0x increase in the odds of unemployment in meta-analytic evidence.
- In the U.S., age-adjusted suicide rate increased to 14.3 per 100,000 in 2022 from 13.5 per 100,000 in 2021.
- The WHO estimated that mental disorders account for 5 of the top 10 causes of disability worldwide (DALYs) as part of the Global Burden of Disease burden profile.
- Mental, neurological, and substance use disorders together were estimated at 416.2 million years of life lived with disability (YLDs) in 2019 worldwide.
Mental disorders affect about one in eight people worldwide, yet large gaps in treatment leave many without care.
Related reading
Unmet Need
Unmet Need Interpretation
Global Prevalence
Global Prevalence Interpretation
More related reading
Market Size
Market Size Interpretation
Epidemiology
Epidemiology Interpretation
More related reading
Burden & Outcomes
Burden & Outcomes Interpretation
Service Use
Service Use Interpretation
More related reading
Treatment Effectiveness
Treatment Effectiveness Interpretation
Industry Trends
Industry Trends Interpretation
More related reading
Cost Analysis
Cost Analysis 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.
Felix Zimmermann. (2026, February 13). Mental Illness Statistics. Gitnux. https://gitnux.org/mental-illness-statistics
Felix Zimmermann. "Mental Illness Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/mental-illness-statistics.
Felix Zimmermann. 2026. "Mental Illness Statistics." Gitnux. https://gitnux.org/mental-illness-statistics.
References
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- 5who.int/news-room/fact-sheets/detail/mental-disorders
- 11who.int/news-room/fact-sheets/detail/mental-health-strengthening-our-response
- 2samhsa.gov/data/report/2022-national-survey-drug-use-and-health-mental-health-findings
- 6samhsa.gov/data/report/2019-nsduh-annual-national-report
- 16samhsa.gov/data/report/mental-health-america-s-2022-household-survey
- 17samhsa.gov/data/sites/default/files/reports/rpt27979/NSDUH-2022-Mental-Illness.pdf
- 3digital.nhs.uk/data-and-information/publications/statistical/psychological-therapies-annual-report
- 4digital.nhs.uk/data-and-information/publications/statistical/patients-waiting-for-services
- 7digital.nhs.uk/data-and-information/publications/statistical/mental-health-activity-report
- 23digital.nhs.uk/data-and-information/publications/statistical-release/adult-mental-health-in-england-2022
- 8pubmed.ncbi.nlm.nih.gov/35904962/
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- 12thelancet.com/article/S0140-6736(17)32811-9/fulltext
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- 18ncbi.nlm.nih.gov/pmc/articles/PMC7001286/
- 29ncbi.nlm.nih.gov/pmc/articles/PMC2895187/
- 19aihw.gov.au/getmedia/06fd8d7a-ef9b-4a0e-9f0a-0ddc5f0b9f0f/nsmh-2019-mental-health-study.pdf.aspx
- 20cdc.gov/nchs/data/databriefs/db496.pdf
- 22ghdx.healthdata.org/gbd-results-tool?params=gbd-api-2019
- 24sciencedirect.com/science/article/pii/S0165178115000849
- 25www150.statcan.gc.ca/n1/daily-quotidien/241017/dq241017a-eng.htm
- 26england.nhs.uk/mental-health/data/
- 27nimh.nih.gov/health/statistics/mental-illness
- 32nimh.nih.gov/about/budget
- 28nhsconfed.org/-/media/files/resources/reports/2020/mental-health-report-2020.pdf
- 31jamanetwork.com/journals/jamapsychiatry/fullarticle/2751205
- 33jamanetwork.com/journals/jama/fullarticle/2675941







