Key Takeaways
- From 2017 to 2022, the U.S. prevalence of past-year serious psychological distress declined from 11.2% to 10.7%
- 53% of employees say their mental health affects their ability to do their job
- The global workplace mental health market is projected to reach US$XX by 2030 (market forecasts vary by methodology)
- 23% of workers report work-related stress “most of the time” or “always”
- 2.5 million U.S. workers reported a mental condition as the cause of their workplace injury/illness in 2022
- 62% of companies report that mental health is a top priority for HR
- 72% of employers offer an Employee Assistance Program (EAP) to employees
- 68% of employees report that their employer provides training for managers on supporting employee mental health
- 1 in 5 employees say their mental health has reduced their job performance
- US$82 billion annually is estimated as lost productivity due to depression and anxiety in the U.S. (2013 estimate)
- The RAND American Life Survey found that untreated mental health conditions are associated with lower work functioning in 2011–2012
- 43% of U.S. employees report that work has negatively affected their mental health.
- 23.5% of U.S. adults reported receiving mental health services in the past 12 months in 2023.
- 70% of employees say workplace burnout harms their health.
- 66% of employees say that communication issues contribute to stress at work.
Workplace mental health affects millions, yet many employers still fall short on support, boosting stress, lost productivity, and sick leave.
Industry Trends
Industry Trends Interpretation
Workplace Burden
Workplace Burden Interpretation
Policy And Programs
Policy And Programs Interpretation
Performance And Costs
Performance And Costs Interpretation
Prevalence & Behavior
Prevalence & Behavior Interpretation
Risk & Drivers
Risk & Drivers Interpretation
Program Adoption
Program Adoption Interpretation
Performance & Outcomes
Performance & Outcomes Interpretation
Economic & Policy
Economic & Policy 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.
Isabelle Moreau. (2026, February 13). Mental Health In The Workplace Statistics. Gitnux. https://gitnux.org/mental-health-in-the-workplace-statistics
Isabelle Moreau. "Mental Health In The Workplace Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/mental-health-in-the-workplace-statistics.
Isabelle Moreau. 2026. "Mental Health In The Workplace Statistics." Gitnux. https://gitnux.org/mental-health-in-the-workplace-statistics.
References
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- 4samhsa.gov/data/report/2022-nsduh-annual-national-report
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- 3grandviewresearch.com/industry-analysis/workplace-mental-health-market
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- 27academic.oup.com/occmed/article/72/5/331/6595110
- 28psycnet.apa.org/record/2021-78687-001
- 29vizhub.healthdata.org/gbd-results/
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- 31worksafe.qld.gov.au/__data/assets/pdf_file/0024/107567/2021-22-workers-compensation-statistics.pdf







