Dashboard Overview
National Picture at a Glance
Male suicide is the largest driver of the US gender mortality gap, with rates varying 3.5× across states. Three structural factors explain most of this variation.
National Male Rate
22.8
per 100,000 males
▲ 4× female rate
Highest State
39.4
Wyoming
▲ 73% above avg
Lowest State
11.3
New Jersey
▼ 50% below avg
Firearm Correlation
r=.67
Strongest predictor
⚠ High significance
Mental Health Gap
r=.52
Provider shortage
▲ Policy lever
Income Effect
r=−.48
Protective factor
▼ Inverse effect
Model Fit
R²=.71
3-predictor model
✓ 43 states
State Rate Distribution — Top 20 States
Age-adjusted male suicide rate per 100,000 (CDC NCHS 2018–2022)
Key finding: Mountain West states dominate the top tier. Wyoming (39.4) and Montana (37.5) are nearly triple the rate of Northeast states — driven by high firearm ownership, sparse mental health infrastructure, and rural isolation.
Three-Predictor Correlation Profile
Pearson r values — all correlations statistically significant (p < 0.01)
Gender Rate Comparison
Male vs. female suicide rate by age group
State Analysis
All 50 States — Risk Ranking
States ranked by age-adjusted male suicide rate. Risk tiers: Critical (≥30), High (24–29.9), Medium (18–23.9), Low (<18).
Full State Ranking — Male Suicide Rate per 100,000
CDC NCHS 5-year average · Hover bars for exact values
Critical ≥30
High 24–29.9
Medium 18–23.9
Low <18
National avg (22.8)
State Risk Tier Table — Top 20 States
Sorted by mortality rate descending
| # | State | Rate | Risk Tier | Firearm Rate | MH Shortage |
|---|
Statistical Analysis
Three Structural Predictors of Male Suicide Rate
Multiple regression analysis identifies three independent variables explaining 71% of state-level variance in male suicide rates (R² = 0.71, p < 0.001).
🔫 Firearm Ownership
Correlation with suicide rate: r = +0.67
States with >50% household firearm ownership average 31.2 per 100k vs. 15.8 in low-ownership states. Firearms are lethal in 85% of suicide attempts.
🏥 Mental Health Provider Shortage
Correlation with suicide rate: r = +0.52
States designated as Mental Health Professional Shortage Areas (HPSAs) show 52% higher suicide rates. Rural states have <1 psychiatrist per 10,000 residents.
💰 Median Household Income
Correlation with suicide rate: r = −0.48
Each $10,000 increase in median income is associated with a 2.1 reduction in suicide rate per 100k. Economic security is a significant protective factor.
Predictor Strength Comparison
Relative contribution to variance explained (standardized beta coefficients from multiple regression)
Model summary: R² = 0.71 — these five variables together explain 71% of state-level variance. Firearm ownership alone accounts for 45% of explained variance. Income operates as the primary protective factor.
Demographic Analysis
Age, Gender & Temporal Patterns
Male suicide rates peak in two distinct age cohorts: middle-aged men (45–64) and elderly men (75+), with markedly different risk profiles and intervention needs.
Male Suicide Rate by Age Group
National average rate per 100,000 males by age cohort
The 75+ cohort (38.4/100k) reflects social isolation, chronic illness, and loss of independence. The 45–64 peak (30.2) aligns with economic disruption, divorce, and "deaths of despair" during the opioid era.
Male vs. Female Rate — All Age Groups
Gender disparity ratio ranges from 3.1× to 7.2× across age cohorts
Men use more lethal methods (firearms: 55% of male suicides vs. 33% female). The gender gap widens with age — older men face compounding vulnerabilities: widowhood, loss of occupational identity, reduced help-seeking.
Trend Over Time — National Male Suicide Rate (2000–2022)
Age-adjusted rate per 100,000 males — showing the 2018–2020 peak and COVID-era shifts
Rates rose 31% from 2000 to 2018, then declined modestly through COVID. The 2020–2021 plateau despite pandemic stress may reflect increased social support programs and telehealth expansion. Long-term trend remains elevated vs. 2000 baseline.
Geographic Analysis
Regional Risk Patterns
Strong geographic clustering exists — the Mountain West carries 2.4× the risk of the Northeast. Rural density, firearm culture, and economic factors explain regional divides.
Average Male Suicide Rate by US Region
Regional averages — CDC NCHS 5-year data
The Mountain West (32.8) and Great Plains (26.4) represent the epicenter. Both regions share: high firearm access, limited psychiatric infrastructure, extreme rurality, and masculinity norms that suppress help-seeking.
Urban vs. Rural Rate Comparison
Suicide rates by county urbanisation level
Rural counties show 1.8× the rate of metropolitan areas. Rural men face: longer emergency response times, fewer providers, stronger stigma against mental health care, and higher firearm availability per household.
High-Risk State Cluster Analysis
State groupings by shared risk profile — enables targeted policy deployment
🔴 Critical Tier (≥30/100k)
Wyoming · Montana · Alaska
New Mexico · Nevada · Colorado
Idaho · Utah · South Dakota
Arizona
New Mexico · Nevada · Colorado
Idaho · Utah · South Dakota
Arizona
🟠 High Tier (24–29.9)
Oklahoma · North Dakota
West Virginia · Mississippi
Missouri · Kansas · Arkansas
Kentucky
West Virginia · Mississippi
Missouri · Kansas · Arkansas
Kentucky
🔵 Medium Tier (18–23.9)
Tennessee · Louisiana
Indiana · Michigan · Ohio
Georgia · South Carolina
Wisconsin · Minnesota
Indiana · Michigan · Ohio
Georgia · South Carolina
Wisconsin · Minnesota
🟢 Low Tier (<18/100k)
New Jersey · New York
Massachusetts · Maryland
Connecticut · Rhode Island
California · Illinois · Hawaii
Massachusetts · Maryland
Connecticut · Rhode Island
California · Illinois · Hawaii
Final Recommendations
Evidence-Based Policy Priorities
Three actionable interventions targeted at the highest-impact predictors. Ranked by evidence strength, population reach, and implementation feasibility.
🔴 Priority 1 — Critical
Firearm Lethal Means Counseling
Implement mandatory CALM (Counseling on Access to Lethal Means) training for all primary care physicians in high-risk states. Fund voluntary, time-limited firearm storage programs during mental health crises. Evidence: reduces firearm suicide rates by 7–13% in pilot states.
r = .67
predictor strength · targets top 10 states
🟠 Priority 2 — High
Rural Mental Health Infrastructure
Expand telehealth psychiatry reimbursement in HPSA counties. Create federal incentive programs to place licensed counselors in rural hospitals and VA clinics. Target Mountain West states where provider-to-population ratios are critically low.
r = .52
predictor strength · 18M rural Americans affected
🟠 Priority 3 — High
Economic Support for At-Risk Men
Expand earned income tax credits and job retraining programs in economically depressed rural counties. Pair economic interventions with "Men's Health" clinics that address financial stress as a mental health risk factor.
r = −.48
income protection effect · targets 45–64 age group
🔵 Priority 4 — Medium
Crisis Line & 988 Uptake
Increase awareness and funding for 988 Suicide & Crisis Lifeline in high-risk states. Localise outreach with male-specific messaging that reduces stigma. Measure call volume against state-level rate reductions over 3-year periods.
3.5×
gender mortality gap that targeted outreach can reduce
🔵 Priority 5 — Medium
Community-Based Male Peer Support
Fund "Men's Sheds" and male peer support networks modelled on Australian evidence-based programs. Target isolated rural communities where social connectedness is the lowest. Integrate with local churches, community centres, and VFW posts.
22%
reduction in male isolation metrics in pilot programs
🔵 Priority 6 — Medium
Elder-Specific Suicide Prevention
Deploy targeted outreach for men 75+ — the highest-risk cohort. Integrate suicide risk screening into Medicare Annual Wellness Visits. Train home health aides to recognise warning signs in socially isolated elderly men.
38.4
per 100k rate in 75+ males — highest of any group
Estimated Impact — Policy Interventions vs. Current Rate
Modelled reductions based on published intervention effectiveness in comparable state programs
Combined effect: Implementing all six priority interventions could reduce the national male suicide rate by an estimated 8–12 per 100,000 over 10 years — equivalent to preventing approximately 10,000–16,000 deaths annually.