Key Takeaways
- 6.7 million adults in the U.S. (about 2.7% of the population) received treatment for a substance use disorder in 2022
- 1 in 5 U.S. adults (about 20.6%) reported having any mental illness in 2022
- 21.5% of U.S. adults reported they had been told by a doctor or other health professional that they have depression in 2022
- In 2022, the WHO reported that 1 in 8 people in the world live with a mental disorder (global prevalence statement)
- In 2024, 72% of organizations planned to increase investment in mental health or well-being benefits over the next 12 months (survey result)
- In 2021, 58% of surveyed employers said they saw increased demand for mental health resources (workplace survey)
- $1.0 trillion in lost productivity in the U.S. due to depression, anxiety, and other mental disorders (annual estimate)
- $4.6 billion global market size for digital therapeutics in 2023 (includes mental health indications)
- $2.1 billion global market size for employee mental health software in 2022
- 27.9% of U.S. adults who needed mental health care in 2021 reported receiving it
- 53% of U.S. adults reported they would use a digital tool to improve mental health (2022 survey)
- 24% of U.S. adults used a mental health app at least once in 2021 (National survey estimate)
- 45% reduction in anxiety scores in a meta-analysis of mindfulness-based interventions (effect size varies by study; overall direction indicates clinically meaningful improvement)
- Moderate effect sizes for CBT interventions for anxiety disorders (standardized mean difference reported across meta-analyses)
- Mindfulness-based stress reduction showed a 0.30 pooled standard mean difference for depressive symptoms in a systematic review
Millions need mental health support, yet treatment gaps remain, driving rising workplace and digital investment worldwide.
Related reading
Prevalence & Burden
Prevalence & Burden Interpretation
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Industry Trends
Industry Trends Interpretation
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Market Size
Market Size Interpretation
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User Adoption
User Adoption Interpretation
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Performance Metrics
Performance Metrics 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.
Thomas Lindqvist. (2026, February 13). Mindset Statistics. Gitnux. https://gitnux.org/mindset-statistics
Thomas Lindqvist. "Mindset Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/mindset-statistics.
Thomas Lindqvist. 2026. "Mindset Statistics." Gitnux. https://gitnux.org/mindset-statistics.
References
- 1samhsa.gov/data/sites/default/files/reports/rpt29923/2022-substance-use-disorder-report.pdf
- 19samhsa.gov/data/report/2021-mental-health-america
- 2nimh.nih.gov/health/statistics/mental-illness
- 3cdc.gov/nchs/fastats/depression.htm
- 9cdc.gov/suicide/facts/index.html
- 4who.int/news-room/fact-sheets/detail/suicide
- 5who.int/news-room/fact-sheets/detail/mental-disorders
- 6mercer.com/newsroom/2024-employer-wellbeing-investment.html
- 7aon.com/getmedia/5b7d5c6b-9a0d-4db1-9f8c-6ddf7b7f9b2a/Aon-Employee-Health-Report-2021.pdf
- 8apa.org/news/press/releases/2023/10-stress-mental-health
- 10bls.gov/news.release/pdf/empsit.pdf
- 11fortunebusinessinsights.com/digital-therapeutics-market-103272
- 12marketsandmarkets.com/Market-Reports/employee-mental-health-software-market-191549403.html
- 13imarcgroup.com/workplace-wellness-services-market
- 16imarcgroup.com/mindfulness-meditation-app-market
- 14alliedmarketresearch.com/online-mental-health-services-market-A07477
- 18alliedmarketresearch.com/mental-health-treatment-market-A12041
- 15grandviewresearch.com/industry-analysis/behavioral-health-software-market
- 17precedenceresearch.com/mental-health-care-market
- 20psychiatry.org/newsroom/news-releases/2022/americans-interest-in-digital-mental-health-tools
- 21healthaffairs.org/content/forefront/mental-health-apps-usage-continues-to-grow
- 22worldatwork.org/docs/research/employer-provided-mental-health-benefits-report.pdf
- 23ncbi.nlm.nih.gov/pmc/articles/PMC6352475/
- 24ncbi.nlm.nih.gov/pmc/articles/PMC5933123/
- 25ncbi.nlm.nih.gov/pmc/articles/PMC5795708/
- 26ncbi.nlm.nih.gov/pmc/articles/PMC5524760/
- 27ncbi.nlm.nih.gov/pmc/articles/PMC4104423/
- 28ncbi.nlm.nih.gov/pmc/articles/PMC7479211/
- 29ncbi.nlm.nih.gov/pmc/articles/PMC5796413/
- 30ncbi.nlm.nih.gov/pmc/articles/PMC5999423/
- 31ncbi.nlm.nih.gov/pmc/articles/PMC6604345/
- 32ncbi.nlm.nih.gov/pmc/articles/PMC5853114/







