Key Takeaways
- 22.8% of U.S. adults had anxiety and/or depressive disorder symptoms in 2021 (PHQ-4 survey measure)
- In a large U.S. employer cohort study, cognitive behavioral therapy reduced depressive symptoms with an average effect size of g=0.55 (meta-analytic pooled estimate)
- In a 2022 meta-analysis, collaborative care increased depression remission by 19 percentage points compared with usual care (absolute improvement)
- 18.7% of U.S. adults reported having any mental illness in the past year in 2021
- 28.0% of U.S. adults reported symptoms of anxiety and/or depressive disorder in the 2 weeks before the survey in 2020
- 9.8% of U.S. adults reported serious psychological distress in 2020
- 43.5% of U.S. adults with mental health needs reported telehealth was the main way they received services during the pandemic (survey share)
- 22.3% of U.S. adults reported using a mental health app at least once in 2021 (survey share)
- 1.2 million people used the Veterans Affairs (VA) telemental health program in 2020 (patient usage count)
- $1.0 trillion total cost of mental illness in the U.S. in 2022 (economic burden estimate)
- $7.1 billion annual cost attributable to untreated severe mental illness in the U.S. (estimated economic burden)
- Patients with mental health conditions had 2.0x higher average healthcare spending than those without in a 2020 analysis (spending ratio)
- From 2018 to 2022, the number of U.S. community mental health center visits increased by 9% (growth rate)
- In 2023, 70% of health systems reported expanding behavioral health digital-first initiatives (survey share)
- The U.S. 988 Suicide & Crisis Lifeline launched nationwide on July 16, 2022 (launch date, measurable event)
In 2021, about 22.8% of U.S. adults reported anxiety or depressive symptoms, yet only 4.8% received treatment.
Related reading
Outcomes & Quality
Outcomes & Quality Interpretation
Market Size
Market Size Interpretation
More related reading
User Adoption
User Adoption Interpretation
Cost Analysis
Cost Analysis Interpretation
Industry Trends
Industry Trends Interpretation
More related reading
Prevalence And Need
Prevalence And Need Interpretation
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.
Emilia Santos. (2026, February 13). Behavioral Health Statistics. Gitnux. https://gitnux.org/behavioral-health-statistics
Emilia Santos. "Behavioral Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/behavioral-health-statistics.
Emilia Santos. 2026. "Behavioral Health Statistics." Gitnux. https://gitnux.org/behavioral-health-statistics.
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