City Crime Trajectories

We analyzed multi-year crime trends for 9,739 cities and classified each one into a trajectory type. Is your city getting safer, more dangerous, or bouncing around unpredictably?

๐Ÿ“ˆ

158

Improving

Crime rates declining consistently over multiple years

๐Ÿ“‰

302

Worsening

Crime rates increasing consistently over multiple years

๐Ÿ“Š

3,065

Volatile

Crime rates swinging up and down unpredictably

๐Ÿ›ก๏ธ

3,303

Stable & Safe

Consistently low crime rates (under 200 violent per 100K)

โš ๏ธ

392

Stable & Dangerous

Consistently high crime rates that aren't changing

Trajectory Distribution

๐Ÿ“ˆ Improving Cities (Largest)

CityPop.Violent RateYoY Change
Dallas, TX1,321,502658.2-2.0%
Louisville Metro, KY676,843707.4-7.6%
Milwaukee, WI560,4161430.9-0.5%
Atlanta, GA500,212707.3-15.9%
Omaha, NE480,235369.0โ€”
Stockton, CA319,0691145.8-0.7%
Durham, NC300,208619.2-2.7%
Lincoln, NE295,808347.9-4.9%
Anchorage, AK286,9581014.8-4.4%
St. Louis, MO277,2941367.1-5.4%

๐Ÿ“‰ Worsening Cities (Largest)

CityPop.Violent RateYoY Change
Mesa, AZ513,585482.7+10.9%
Glendale, CA184,180287.2+26.5%
Corona, CA161,174249.4+9.4%
Orange, CA137,970226.1+2.8%
Torrance, CA136,899311.2+17.4%
Provo, UT112,763206.6+18.3%
Woodbridge Township, NJ103,449237.8+26.2%
El Monte, CA102,088423.2+0.4%
Burbank, CA101,377390.6+6.0%
Greece Town, NY93,943141.6+0.9%

๐Ÿ“Š Volatile Cities (Largest)

CityPop.Violent RateYoY Change
New York, NY8,299,271671.0+0.4%
Las Vegas Metropolitan Police Department, NV1,716,565429.8-8.6%
Phoenix, AZ1,662,809799.6+1.9%
San Antonio, TX1,514,458594.1-14.4%
San Diego, CA1,389,024412.2-1.3%
Charlotte-Mecklenburg, NC1,003,130733.2+1.0%
Fort Worth, TX997,476458.4-6.4%
Honolulu, HI992,973185.2-0.5%
Austin, TX984,613466.9-6.5%
Columbus, OH915,447434.9+12.9%

๐Ÿ›ก๏ธ Stable & Safe Cities (Largest)

CityPop.Violent RateYoY Change
Virginia Beach, VA455,15592.3-3.2%
Irvine, CA316,76484.0-3.1%
Chandler, AZ281,117133.4-23.1%
Gilbert, AZ277,527132.2+12.9%
Frisco, TX232,961100.9+17.6%
McKinney, TX219,132117.3+11.4%
Worcester, MA212,42516.5โ€”
Overland Park, KS196,875184.4-9.3%
Cary, NC181,79371.0-31.7%
Surprise, AZ163,202109.1+8.7%

โš ๏ธ Stable & Dangerous Cities (Largest)

CityPop.Violent RateYoY Change
Los Angeles, CA3,786,018820.0-1.7%
Houston, TX2,319,1601148.2+5.2%
San Jose, CA956,840606.8โ€”
Indianapolis, IN890,685877.9-14.8%
Denver, CO722,031993.0-2.8%
Washington, DC702,250925.9-11.6%
Metropolitan Nashville Police Department, TN698,9871124.1-0.4%
Boston, MA659,049627.9+0.2%
Detroit, MI651,1711781.3-13.2%
Memphis, TN613,2072501.3-4.2%

How We Classify Trajectories

Our trajectory classification uses 3-5 years of FBI Uniform Crime Report data for each city. We analyze year-over-year changes in violent crime rates to determine the overall direction:

  • Improving: Violent crime rate has declined every year in the available data period, but the city is still above 200 per 100K.
  • Worsening: Violent crime rate has increased every year.
  • Stable & Safe: All years show declining rates AND the latest rate is under 200 per 100K โ€” consistently low.
  • Stable & Dangerous: All years show increasing rates AND the latest rate exceeds 500 per 100K โ€” stuck in a high-crime pattern.
  • Volatile: Crime rates bounce up and down with no clear trend โ€” the most common pattern, reflecting how crime responds to many variables.

Volatility is the most common trajectory (3,065 cities) because crime rates are influenced by many factors: policing changes, economic shifts, drug markets, and even weather. A single year's spike or drop often reverses the next year.