Crime vs Everything
What actually correlates with crime? We computed Pearson correlations across all 50 states + DC between crime rates and poverty, gun ownership, and median income. Click any dot to see the state.
Key Insights
- →Strongest correlation: Poverty Rate (%) vs Murder Rate (r=0.58)
- →Poverty shows the clearest link to murder rates (r²=0.34)
- →Gun ownership shows essentially no correlation with violent crime rates at the state level
- →Median income shows almost no linear relationship with violent crime
- →State-level data masks huge variation within states (urban vs rural)
Poverty Rate (%) vs Violent Crime Rate
Moderate correlation (positive)
Gun Ownership (%) vs Violent Crime Rate
Very weak / no correlation (positive)
Median Income ($K) vs Violent Crime Rate
Very weak / no correlation (positive)
Poverty Rate (%) vs Property Crime Rate
Weak correlation (positive)
Gun Ownership (%) vs Murder Rate
Very weak / no correlation (negative)
Poverty Rate (%) vs Murder Rate
Moderate correlation (positive)
Key Findings
🔴 Poverty is the strongest predictor of murder
With r=0.58, poverty rate explains about 34% of the variation in state murder rates. Still, that means 66% is explained by other factors.
🔵 Gun ownership doesn't predict violent crime at the state level
The correlation between gun ownership and violent crime is essentially zero (r≈0). This doesn't mean guns don't matter — it means the relationship is far more complex than "more guns = more crime" or "more guns = less crime."
💰 Income doesn't linearly predict crime
Median income shows almost no correlation with violent crime. Some wealthy states (Maryland, Alaska) have high crime rates, while some lower-income states (Maine, Idaho) are very safe.
🏙️ The hidden variable: urbanization
Much of the variation in state crime rates is driven by urbanization levels and the presence of large cities — a factor not captured in these simple correlations.