Rural Americans carry a heavier mental health burden than people in big cities due to higher rates of depression and suicide, yet they’re far less likely to reach a provider who can help. That gap raises an uncomfortable question: when care is harder to reach, do mental health treatments also work less well for the people who live in underserved parts of the country?
A LifeStance Health analysis of more than 139,000 LifeStance patients points to a reassuring answer. When we looked at treatment results across every region of the U.S., including regions with large rural populations, improvement stayed remarkably consistent. The evidence suggests there's a challenge in reaching care, not benefiting from it once you’re in it.
The Rural Mental Health Gap
The prevalence of mental illness is similar in rural and urban America, but access to care is not. A 2020 review published in the Journal of Clinical and Translational Science found that rural residents experience significant disparities in mental health outcomes despite comparable rates of illness: a gap driven less by biology than by access. Rural Americans face higher rates of depression and suicide than people in urban areas, yet they are less likely to seek or receive mental health services.
The scarcity is stark. According to a 2023 Bipartisan Policy Center Report, more than 60% of nonmetropolitan counties lack a psychiatrist, and almost half of nonmetropolitan counties do not have a psychologist, compared with 27% and 19% or urban counties, respectively. The consequences surface in the most serious outcomes: CDC data show suicide rates climbing steadily as counties grow more rural, reaching roughly 18 to 21 per 100,000 residents in the most rural areas, which is close to double the rate of about 11 per 100,000 in the largest metropolitan counties.
Anyone in crisis can reach the 988 Suicide & Crisis Lifeline for free, confidential support by calling or texting 988, any time.
That pattern points to a gap in access and engagement rather than a clear regional difference in outcomes within this dataset. It’s a distinction that LifeStance outcomes help illuminate.
How the Data Was Measured
Between September 2024 and December 2025, LifeStance reviewed results for 143,941 LifeStance patients screened for depression and 139,798 patients screened for anxiety, all of whom reported at least moderate symptom severity when they began care (a score of 10 or higher). Progress was tracked with two widely used clinical questionnaires: the PHQ-9 for depression and the GAD-7 for anxiety. Each turns a patient’s symptoms into a score, so a drop out of the moderate-or-higher range reflects real, measurable change. Throughout this analysis, “clinically significant improvement” refers to that kind of measured change in a patient’s score.
A note on how we grouped patients: We organized results by the four official U.S. Census regions: Midwest, Northeast, South, and West. These regions differ meaningfully in how urban or rural they are, based on U.S. Census Bureau population data. Comparing outcomes across regions with very different urban-rural makeups lets us ask a practical question: do results hold up in parts of the country that include large rural populations? Importantly, this is a region-level view that compares regions to one another, not individual rural patients against individual urban patients.
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Mental Health Treatment Outcomes Held Steady Across Every U.S. Region
If living in a less-urban part of the country meant weaker results, we’d expect the regions with larger rural populations like the Midwest (74.3% urban) and South (75.8% urban) to trail the more heavily urban Northeast (84%) and West (88.9%). They didn’t.
Generation
Depression (PHQ-9) Clinically Significant Reduction in Symptoms
Anxiety (GAD-7) Clinically Significant Reduction in Symptoms
Baby Boomers (ages 62-80)
76.15%
79.34%
Generation X (ages 46-61)
76.54%
80.88%
Millennials (ages 30-45)
77.91%
83.76%
Generation Z (ages 14-29)
75.65%
81.70%
Overall
76.74%
82.24%
Improvement stayed within about two percentage points across every region. Depression improvement ranged from 75.53% in the West to 77.82% in the South, and anxiety improvement from 80.99% in the West to 83.32% in the Northeast. Notably, the outcomes didn’t track with how urban a region is. For instance, the South, one of the less-urban regions, posted the single highest depression-improvement rate in the study, while the heavily urban West sat at the lower end. In other words, a region having a larger rural population didn’t translate into weaker results. Overall, 75% or more patients with at least moderate depression or anxiety improved significantly no matter their geographic region.
Table 1. Patients with clinically significant reduction in symptoms, by U.S. Census region.
One honest caveat. Because this is a region-level analysis, each region blends rural and urban patients together, so it isn’t a direct, patient-by-patient comparison of rural care versus urban care. What it does show is meaningful: across four large regions with very different urban-rural profiles, outcomes were consistent, and geography wasn’t a dividing line. That consistency supports that LifeStance delivered strong, dependable care to patients in this analysis on a national scale, including in parts of the country where mental health resources are stretched thin.
Finding a Mental Health Provider
Consistent national results are encouraging, but care is still personal. Finding the right mental health provider, someone whose approach and specialty fit your needs, often matters as much as whether care happens in-person or online. If you’re considering therapy or psychiatry, you can confirm which services are available in your area and check whether treatment would be covered by your insurance before a first visit.
For a fuller picture of how patients tend to fare, LifeStance’s broader outcomes data report found that 79% of patients showed clinically significant improvement in anxiety symptoms and 73% showed clinically significant improvement in depression symptoms. Figures like these reflect group averages and are not a promise of any individual outcome, but they offer a grounded, evidence-based reason to reach out for support no matter where you live.
The outcomes discussed in this article are based on aggregate data from LifeStance patients and are intended for informational purposes only. Individual experiences and treatment outcomes vary, and no specific result can be guaranteed. The findings described do not constitute medical advice and should not be relied upon as a substitute for consultation with a qualified healthcare professional. Mental health treatment recommendations are individualized and may include therapy, medication when clinically appropriate, or other interventions.
Carpenter-Song, E., & Snell-Rood, C. (2016). The changing context of rural America: A call to examine the impact of social change on mental health and mental health care. Psychiatric Services, 68(5), 503–506. https://ps.psychiatryonline.org/doi/10.1176/appi.ps.201600024
Ehlman, D. C., Yard, E., Stone, D. M., Jones, C. M., & Mack, K. A. (2022). Changes in suicide rates — United States, 2019 and 2020. MMWR, 71(8), 306–312. https://www.cdc.gov/mmwr/volumes/71/wr/mm7108a5.htm
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092. https://doi.org/10.1001/archinte.166.10.1092
As part of the Insights and Analytics team, Olga designs scalable data models and business intelligence solutions that transform complex clinical and operational data into clear, actionable insights to support decision-making across clinical and leadership teams. With a focus on...
A driven biostatistician with strong analytical skills for EMR data. Focuses on translating statistical results into interpretable solutions by identifying and reporting associations. Experience with machine learning and regression models. A unique combination of technical proficiency and clear communication through storytelling with data to discover solutions.
At LifeStance Health, Matthew leads an Analytics and Insights team focused on business intelligence, performance measurement, clinical quality and outcomes, and delivering insights that inform strategic decision-making, while also overseeing a Community of Analytics that promotes strong data governance and best practices. They bring over 20 years of experience leading data science and business intelligence teams across both startups and large enterprises, with expertise spanning internal analytics and external partnerships. Matthew's background combines quantitative and clinical knowledge, with a focus on statistical modeling, machine learning, and behavior change in health technology and clinical research.
Stephanie Eken, MD, MBA, is a triple board-certified psychiatrist, child and adolescent psychiatrist, and pediatrician with more than 20 years of experience in behavioral health, currently serving as Chief Medical Officer at LifeStance, where she leads clinical strategy and vision to advance outpatient mental healthcare. Prior to joining LifeStance, she served as Chief Medical Officer at Acadia Healthcare and spent 15 years at Rogers Behavioral Health, where she also held the role of Chief Medical Officer. A recognized thought leader in clinical governance, behavioral health innovation, and patient safety, Dr. Eken holds a bachelor’s degree from the University of Richmond, earned her medical degree from the University of Tennessee Health Science Center College of Medicine, completed her residency at the University of Kentucky, and received her MBA from the University of Tennessee.
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