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Former Auto Insurance Claims Manager

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Driving is a way of life for most Americans. Data from the U.S. Census Bureau shows that there are more than 120 million vehicles used for commuting, and research conducted by Gallup found that 83 percent of adults drive at least several times per week. Even though driving is one of the most popular modes of transportation, it’s not without risk.

Research from the National Highway Traffic Safety Administration (NHTSA) shows that in 2017, driving was responsible for 37,133 fatalities. Adjusted for population, that’s 11.4 driving fatalities for every 100,000 people in the U.S.

Driving has long been a leading cause of death among teens—young drivers have less experience and are more likely to engage in risky driving behavior. There has been a slight rise in traffic fatalities over the past five years, but the longer-term trend shows that fewer people are dying as a result of car accidents.

Despite safety improvements over the past 25 years, certain times of the day and week are still more dangerous than others for drivers. Car accidents can occur at any time, but data from the NHTSA shows that fatal accidents are more likely to occur on nights and weekends. In 2017, there were 70 percent more fatal accidents between 6-9 PM than between 6-9 AM. Likewise, compared to Monday-Thursday, Friday-Sunday saw 25 percent more fatal crashes per day.

Timing is not the only factor that influences traffic fatalities; location matters too. The likelihood of getting into any car accident is higher in urban areas, but the likelihood of being involved in a fatal accident is higher in rural areas. According to the IIHS, only 19 percent of Americans live in rural areas and 30 percent of the miles traveled by vehicles occur in rural areas, but almost half of traffic fatalities happen in these locations. Within rural areas, crash deaths are also more likely to occur on local and collector roads rather than on interstates.

According to the Federal Highway Administration, rural collector roads and local roads may not be fully paved or have clearly delineated directions of travel, increasing the likelihood of collision. In addition, the speed limit on rural roads is usually higher than on urban roads, and crashes that occur at higher speeds can be more severe. These factors are compounded by limited (or delayed) access to health care services in many rural areas.

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Collisions aren’t the only danger for drivers. Cars are also subject to theft—a crime that cost Americans about $6 billion in 2017. The good news is that vehicle thefts have also been trending down over the past two decades. In 2017, the number of vehicle thefts nationwide was about a third lower than what it was in 1998 and the rate of vehicle thefts per 100,000 people was nearly halved.

Similar to motor vehicle accidents and fatalities, location is a big determinant in the likelihood of having a car stolen. Most car thefts occur in Western states, such as New Mexico, Nevada, and California. By contrast, states in the Northeast, such as Vermont, Maine, and New York, tend to have lower rates of motor vehicle theft.

When considering the likelihood of collision, traffic fatalities, motor vehicle thefts, and inclement weather, some cities are more dangerous for drivers than others. To identify the most dangerous cities for drivers, researchers at CarInsuranceCompanies.com used data from the National Highway Traffic Safety Administration Fatality Analysis Reporting System, Allstate’s America’s Best Drivers Report, the Federal Bureau of Investigation Uniform Crime Reporting Program, and the National Centers for Environmental Information Comparative Climatic Data to create a composite score for each of the largest U.S. cities based on the following factors:

Motor vehicle fatality rate (50%)

Relative collision likelihood (30%)

Motor vehicle theft rate (10%)

Annual days with precipitation (10%)

Only the 183 most populous cities in the U.S. with available data from all of the sources were included. Here’s what the study found:

Key Takeaways

Nationwide there were 37,133 fatalities in 2017, resulting in a fatality rate of 11.4 per 100,000 people. Among major cities, that number ranges from a low of 0.6 in Cary, NC to a high of 27.9 in Charleston, SC.

Across the entire U.S., the average driver experiences a collision once every 10.6 years. That ranges from a high of 14.9 in Brownsville, TX to a low of 4.2 in Baltimore, MD.

According to data from the FBI, there were over 770,000 reported motor vehicle thefts in 2017, or 237 per 100,000 people. The car theft rate ranges from 31.6 in Naperville, IL to over 1,375 in Albuquerque, NM.

Several cities in the South, Midwest, and California are among the most dangerous 25 cities for drivers. More specifically, four cities from the list are from California, four are from Florida, and four are from Texas.

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The Most Dangerous Cities for Drivers

#25 – Orlando, FL

Motor vehicle fatalities: 13.2 per 100k people (37 per year)

13.2 per 100k people (37 per year) Relative collision likelihood: 15.3% above average

15.3% above average Motor vehicle thefts: 495 per 100k people (1,387 per year)

495 per 100k people (1,387 per year) Annual days with precipitation: 117

117 Population: 280,258

#24 – Fresno, CA

Motor vehicle fatalities: 11.6 per 100k people (61 per year)

11.6 per 100k people (61 per year) Relative collision likelihood: 31.9% above average

31.9% above average Motor vehicle thefts: 529 per 100k people (2,789 per year)

529 per 100k people (2,789 per year) Annual days with precipitation: 45

45 Population: 527,422

#23 – Portland, OR

Motor vehicle fatalities: 7.4 per 100k people (48 per year)

7.4 per 100k people (48 per year) Relative collision likelihood: 51.0% above average

51.0% above average Motor vehicle thefts: 1,126 per 100k people (7,295 per year)

1,126 per 100k people (7,295 per year) Annual days with precipitation: 153

153 Population: 648,121

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#22 – San Bernardino, CA

Motor vehicle fatalities: 10.1 per 100k people (22 per year)

10.1 per 100k people (22 per year) Relative collision likelihood: 41.8% above average

41.8% above average Motor vehicle thefts: 1,049 per 100k people (2,277 per year)

1,049 per 100k people (2,277 per year) Annual days with precipitation: 38

38 Population: 216,983

#21 – Fort Worth, TX

Motor vehicle fatalities: 12.6 per 100k people (110 per year)

12.6 per 100k people (110 per year) Relative collision likelihood: 29.7% above average

29.7% above average Motor vehicle thefts: 309 per 100k people (2,706 per year)

309 per 100k people (2,706 per year) Annual days with precipitation: 79

79 Population: 876,060

#20 – Cincinnati, OH

Motor vehicle fatalities: 8.6 per 100k people (26 per year)

8.6 per 100k people (26 per year) Relative collision likelihood: 47.6% above average

47.6% above average Motor vehicle thefts: 493 per 100k people (1,485 per year)

493 per 100k people (1,485 per year) Annual days with precipitation: 132

132 Population: 301,305

#19 – Houston, TX

Motor vehicle fatalities: 10.6 per 100k people (245 per year)

10.6 per 100k people (245 per year) Relative collision likelihood: 38.0% above average

38.0% above average Motor vehicle thefts: 501 per 100k people (11,596 per year)

501 per 100k people (11,596 per year) Annual days with precipitation: 103

103 Population: 2,313,230

#18 – Pomona, CA

Motor vehicle fatalities: 11.8 per 100k people (18 per year)

11.8 per 100k people (18 per year) Relative collision likelihood: 34.0% above average

34.0% above average Motor vehicle thefts: 817 per 100k people (1,250 per year)

817 per 100k people (1,250 per year) Annual days with precipitation: 27

27 Population: 152,946

#17 – Hollywood, FL

Motor vehicle fatalities: 14.3 per 100k people (22 per year)

14.3 per 100k people (22 per year) Relative collision likelihood: 14.9% above average

14.9% above average Motor vehicle thefts: 329 per 100k people (505 per year)

329 per 100k people (505 per year) Annual days with precipitation: 145

145 Population: 153,625

#16 – Mesquite, TX

Motor vehicle fatalities: 11.1 per 100k people (16 per year)

11.1 per 100k people (16 per year) Relative collision likelihood: 38.4% above average

38.4% above average Motor vehicle thefts: 590 per 100k people (849 per year)

590 per 100k people (849 per year) Annual days with precipitation: 79

79 Population: 143,822

#15 – Hialeah, FL

Motor vehicle fatalities: 12.5 per 100k people (30 per year)

12.5 per 100k people (30 per year) Relative collision likelihood: 26.0% above average

26.0% above average Motor vehicle thefts: 286 per 100k people (685 per year)

286 per 100k people (685 per year) Annual days with precipitation: 138

138 Population: 239,682

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Age is one of the strongest predictors of car insurance premiums. For example, the average cost of teen car insurance is much higher than the national average. The cost of car insurance for 22-year-old males is also particularly high.

#14 – Fort Lauderdale, FL

Motor vehicle fatalities: 16.7 per 100k people (30 per year)

16.7 per 100k people (30 per year) Relative collision likelihood: 6.8% above average

6.8% above average Motor vehicle thefts: 514 per 100k people (925 per year)

514 per 100k people (925 per year) Annual days with precipitation: 145

145 Population: 180,071

#13 – Charlotte, NC

Motor vehicle fatalities: 12.0 per 100k people (103 per year)

12.0 per 100k people (103 per year) Relative collision likelihood: 35.9% above average

35.9% above average Motor vehicle thefts: 305 per 100k people (2,622 per year)

305 per 100k people (2,622 per year) Annual days with precipitation: 112

112 Population: 859,052

#12 – Memphis, TN

Motor vehicle fatalities: 15.2 per 100k people (99 per year)

15.2 per 100k people (99 per year) Relative collision likelihood: 16.8% above average

16.8% above average Motor vehicle thefts: 614 per 100k people (4,002 per year)

614 per 100k people (4,002 per year) Annual days with precipitation: 108

108 Population: 652,231

#11 – Springfield, MA

Motor vehicle fatalities: 11.0 per 100k people (17 per year)

11.0 per 100k people (17 per year) Relative collision likelihood: 81.7% above average

81.7% above average Motor vehicle thefts: 329 per 100k people (509 per year)

329 per 100k people (509 per year) Annual days with precipitation: 100

100 Population: 154,763

#10 – Louisville, KY

Motor vehicle fatalities: 14.3 per 100k people (89 per year)

14.3 per 100k people (89 per year) Relative collision likelihood: 16.2% above average

16.2% above average Motor vehicle thefts: 622 per 100k people (3,864 per year)

622 per 100k people (3,864 per year) Annual days with precipitation: 124

124 Population: 621,337

#9 – Sacramento, CA

Motor vehicle fatalities: 13.7 per 100k people (69 per year)

13.7 per 100k people (69 per year) Relative collision likelihood: 40.0% above average

40.0% above average Motor vehicle thefts: 542 per 100k people (2,718 per year)

542 per 100k people (2,718 per year) Annual days with precipitation: 57

57 Population: 501,890

#8 – Cleveland, OH

Motor vehicle fatalities: 13.7 per 100k people (53 per year)

13.7 per 100k people (53 per year) Relative collision likelihood: 18.9% above average

18.9% above average Motor vehicle thefts: 881 per 100k people (3,395 per year)

881 per 100k people (3,395 per year) Annual days with precipitation: 156

156 Population: 385,552

#7 – New Orleans, LA

Motor vehicle fatalities: 11.2 per 100k people (44 per year)

11.2 per 100k people (44 per year) Relative collision likelihood: 49.1% above average

49.1% above average Motor vehicle thefts: 644 per 100k people (2,531 per year)

644 per 100k people (2,531 per year) Annual days with precipitation: 114

114 Population: 393,292

#6 – Atlanta, GA

Motor vehicle fatalities: 11.3 per 100k people (55 per year)

11.3 per 100k people (55 per year) Relative collision likelihood: 49.4% above average

49.4% above average Motor vehicle thefts: 678 per 100k people (3,297 per year)

678 per 100k people (3,297 per year) Annual days with precipitation: 115

115 Population: 486,299

#5 – St. Louis, MO

Motor vehicle fatalities: 18.1 per 100k people (56 per year)

18.1 per 100k people (56 per year) Relative collision likelihood: 22.4% above average

22.4% above average Motor vehicle thefts: 879 per 100k people (2,713 per year)

879 per 100k people (2,713 per year) Annual days with precipitation: 110

110 Population: 308,626

#4 – Detroit, MI

Motor vehicle fatalities: 15.3 per 100k people (103 per year)

15.3 per 100k people (103 per year) Relative collision likelihood: 22.8% above average

22.8% above average Motor vehicle thefts: 1,212 per 100k people (8,155 per year)

1,212 per 100k people (8,155 per year) Annual days with precipitation: 135

135 Population: 673,103

#3 – Dallas, TX

Motor vehicle fatalities: 14.5 per 100k people (194 per year)

14.5 per 100k people (194 per year) Relative collision likelihood: 46.5% above average

46.5% above average Motor vehicle thefts: 590 per 100k people (7,913 per year)

590 per 100k people (7,913 per year) Annual days with precipitation: 79

79 Population: 1,341,103

#2 – Savannah, GA

Motor vehicle fatalities: 15.7 per 100k people (23 per year)

15.7 per 100k people (23 per year) Relative collision likelihood: 37.8% above average

37.8% above average Motor vehicle thefts: 642 per 100k people (940 per year)

642 per 100k people (940 per year) Annual days with precipitation: 110

110 Population: 146,449

#1 – Baton Rouge, LA

Motor vehicle fatalities: 23.1 per 100k people (52 per year)

23.1 per 100k people (52 per year) Relative collision likelihood: 55.1% above average

55.1% above average Motor vehicle thefts: 440 per 100k people (991 per year)

440 per 100k people (991 per year) Annual days with precipitation: 113

113 Population: 225,370

Methodology

To identify the most dangerous cities for drivers, a composite score was calculated based on the following factors:

Motor vehicle fatality rate (50%)

Relative collision likelihood (30%)

Motor vehicle theft rate (10%)

Annual days with precipitation (10%)

Using data from:

Only the 200 most populous cities in the U.S. were included in the analysis. Of those 200 cities, 17 were removed because of missing data across one or multiple data sources. For a complete set of results for all cities, see the chart below.

Complete Study Results

Rank City Traffic Fatality Rate Annual Traffic Fatalities Collision Likelihood Vehicle Theft Rate Annual Vehicle Thefts Days with Precipitation 1 Baton Rouge, LA 23.1 52 +55.1% 440 991 113 2 Savannah, GA 15.7 23 +37.8% 642 940 110 3 Dallas, TX 14.5 194 +46.5% 590 7,913 79 4 Detroit, MI 15.3 103 +22.8% 1,212 8,155 135 5 St. Louis, MO 18.1 56 +22.4% 879 2,713 110 6 Atlanta, GA 11.3 55 +49.4% 678 3,297 115 7 New Orleans, LA 11.2 44 +49.1% 644 2,531 114 8 Cleveland, OH 13.7 53 +18.9% 881 3,395 156 9 Sacramento, CA 13.7 69 +40.0% 542 2,718 57 10 Louisville, KY 14.3 89 +16.2% 622 3,864 124 11 Springfield, MA 11 17 +81.7% 329 509 100 12 Memphis, TN 15.2 99 +16.8% 614 4,002 108 13 Charlotte, NC 12 103 +35.9% 305 2,622 112 14 Fort Lauderdale, FL 16.7 30 +6.8% 514 925 145 15 Hialeah, FL 12.5 30 +26.0% 286 685 138 16 Mesquite, TX 11.1 16 +38.4% 590 849 79 17 Hollywood, FL 14.3 22 +14.9% 329 505 145 18 Pomona, CA 11.8 18 +34.0% 817 1,250 27 19 Houston, TX 10.6 245 +38.0% 501 11,596 103 20 Cincinnati, OH 8.6 26 +47.6% 493 1,485 132 21 Fort Worth, TX 12.6 110 +29.7% 309 2,706 79 22 San Bernardino, CA 10.1 22 +41.8% 1,049 2,277 38 23 Portland, OR 7.4 48 +51.0% 1,126 7,295 153 24 Fresno, CA 11.6 61 +31.9% 529 2,789 45 25 Orlando, FL 13.2 37 +15.3% 495 1,387 117 26 Newark, NJ 9.1 26 +32.0% 839 2,392 122 27 Greensboro, NC 16.2 47 +11.9% 292 846 111 28 Garden Grove, CA 10.3 18 +53.7% 377 657 36 29 Jackson, MS 16.1 27 +8.7% 447 747 109 30 Charleston, SC 27.9 39 +12.6% 217 303 107 31 Jacksonville, FL 16.3 145 +8.4% 328 2,925 114 32 Mobile, AL 16.8 32 -8.40% 662 1,259 120 33 Salem, OR 10.6 18 +17.3% 507 861 144 34 Albuquerque, NM 15 84 +5.3% 1,376 7,684 59 35 Phoenix, AZ 15.3 249 +13.6% 471 7,653 35 36 Anaheim, CA 9.6 34 +48.8% 440 1,552 33 37 Milwaukee, WI 11.8 70 +6.7% 924 5,503 125 38 Knoxville, TN 15.5 29 -8.30% 553 1,036 127 39 Bridgeport, CT 7.5 11 +52.8% 488 716 120 40 Bakersfield, CA 13.7 52 +12.9% 729 2,777 37 41 Tampa, FL 13.5 52 +17.2% 147 567 107 42 Little Rock, AR 10.6 21 +19.9% 569 1,130 104 43 Indianapolis, IN 11.2 96 +11.0% 572 4,904 127 44 San Antonio, TX 9.7 146 +29.0% 454 6,864 81 45 Shreveport, LA 12.5 24 +11.6% 461 884 99 46 Nashville, TN 10.2 68 +19.4% 385 2,565 120 47 Garland, TX 8 19 +48.4% 341 810 79 48 Oklahoma City, OK 14.9 96 +0.6% 435 2,800 82 49 Stockton, CA 9.3 29 +27.4% 660 2,049 55 50 Dayton, OH 11.4 16 +5.6% 439 616 134 51 Fontana, CA 9.4 20 +31.4% 416 881 38 52 Fort Wayne, IN 14.1 36 -2.30% 209 532 132 53 Oakland, CA 6.6 28 +67.6% 1,292 5,495 66 54 Waco, TX 13.9 19 +12.1% 140 191 79 55 Tulsa, OK 11.7 47 +3.0% 860 3,460 91 56 Austin, TX 8.4 80 +39.1% 219 2,079 84 57 Torrance, CA 8.2 12 +49.5% 297 436 35 58 Columbus, GA 12.4 24 +3.1% 363 704 109 59 Grand Rapids, MI 8 16 +27.4% 183 363 146 60 Baltimore, MD 5.4 33 +152.4% 845 5,171 116 61 Tacoma, WA 6.1 13 +33.9% 977 2,086 149 62 Hayward, CA 6.2 10 +54.4% 1,122 1,801 65 63 Salt Lake City, UT 10 20 +7.8% 940 1,886 92 64 Santa Ana, CA 7.2 24 +47.7% 593 1,980 36 65 Oceanside, CA 11.4 20 +15.9% 281 496 33 66 Tempe, AZ 13.5 25 +6.9% 256 473 37 67 Columbus, OH 6.6 58 +31.7% 474 4,176 138 68 Philadelphia, PA 5.9 94 +66.9% 347 5,483 118 69 Killeen, TX 11.7 17 +3.9% 389 566 73 70 Buffalo, NY 6.6 17 +33.7% 322 833 167 71 Norfolk, VA 7.8 19 +25.5% 293 718 117 72 Riverside, CA 7.9 26 +28.2% 528 1,730 30 73 Fayetteville, NC 11.9 25 -0.50% 198 415 111 74 Los Angeles, CA 6.4 257 +81.9% 480 19,193 35 75 Amarillo, TX 13 26 -8.00% 494 990 70 76 Tucson, AZ 11.9 64 -1.70% 449 2,407 51 77 Lexington, KY 10.9 35 -3.90% 395 1,273 133 78 Providence, RI 5.5 10 +70.8% 322 580 125 79 Glendale, AZ 9.7 24 +14.7% 471 1,163 30 80 Chattanooga, TN 9.5 17 -3.40% 749 1,342 120 81 St. Petersburg, FL 10.6 28 +2.8% 372 978 97 82 Rochester, NY 7.2 15 +22.8% 296 616 162 83 Grand Prairie, TX 7.7 15 +32.4% 255 495 70 84 Springfield, MO 10.2 17 -7.70% 1,176 1,969 109 85 Miami, FL 9.1 42 +4.5% 396 1,835 133 86 Paterson, NJ 6.1 9 +33.3% 424 631 123 87 Lancaster, CA 9.4 15 +16.2% 405 650 29 88 Spokane, WA 7.4 16 +14.4% 800 1,737 112 89 Arlington, TX 6.8 27 +39.9% 343 1,360 70 90 Moreno Valley, CA 7.7 16 +25.8% 559 1,158 30 91 Palmdale, CA 8.9 14 +23.7% 276 435 27 92 Toledo, OH 8.3 23 +10.6% 269 745 134 93 Newport News, VA 8.9 16 +12.1% 272 488 109 94 Las Vegas, NV 7 45 +26.7% 1,276 8,186 26 95 Syracuse, NY 7.7 11 +13.9% 259 371 172 96 Fremont, CA 6.4 15 +41.2% 368 865 65 97 Washington, DC 4.5 31 +142.2% 367 2,545 114 98 Modesto, CA 6.1 13 +34.2% 659 1,412 56 99 Pittsburgh, PA 5.3 16 +41.9% 225 680 154 100 Plano, TX 7 20 +37.2% 119 339 81 101 Worcester, MA 4.3 8 +105.5% 214 397 134 102 Vancouver, WA 5.7 10 +22.2% 605 1,063 168 103 Long Beach, CA 5.8 27 +45.4% 581 2,729 34 104 Pembroke Pines, FL 7.6 13 +16.6% 182 310 122 105 San Jose, CA 4.3 45 +44.6% 779 8,068 108 106 Wichita, KS 9.5 37 -6.60% 634 2,478 86 107 Corpus Christi, TX 11.4 37 -8.40% 225 731 76 108 Huntsville, AL 9.7 19 -21.10% 535 1,046 116 109 Aurora, CO 7.1 26 +15.0% 596 2,189 87 110 Omaha, NE 8.1 38 -3.00% 750 3,500 100 111 Escondido, CA 7.2 11 +25.6% 262 398 42 112 Chicago, IL 5.4 147 +28.0% 426 11,578 126 113 Seattle, WA 4.1 30 +37.4% 501 3,630 156 114 Denver, CO 7 49 +13.5% 789 5,560 87 115 Durham, NC 7.8 21 +10.5% 284 762 105 116 Irving, TX 5 12 +50.7% 296 711 79 117 Boston, MA 3.8 26 +116.4% 176 1,205 127 118 Clarksville, TN 7.8 12 +1.2% 157 241 128 119 Reno, NV 8.4 21 -6.10% 575 1,432 51 120 Akron, OH 7.1 14 -0.10% 382 755 156 121 Thornton, CO 8 11 -3.90% 539 739 72 122 Miramar, FL 5.7 8 +18.3% 185 260 145 123 Colorado Springs, CO 8.4 39 -12.00% 460 2,135 89 124 Pasadena, CA 4.2 6 +54.6% 252 359 43 125 Minneapolis, MN 4 17 +28.9% 565 2,388 115 126 San Francisco, CA 2.8 25 +55.5% 547 4,834 67 127 St. Paul, MN 3.9 12 +28.9% 680 2,084 110 128 Fullerton, CA 4.3 6 +53.2% 275 386 33 129 Sunnyvale, CA 4.6 7 +44.3% 194 298 64 130 Honolulu, HI 4.9 17 +15.6% 1,029 3,606 93 131 Orange, CA 6.4 9 +19.6% 243 341 36 132 Alexandria, VA 2.5 4 +69.8% 171 273 114 133 Chesapeake, VA 7.5 18 +1.1% 104 250 117 134 North Las Vegas, NV 4.1 10 +39.2% 544 1,321 22 135 Boise, ID 9.3 21 -22.60% 153 346 90 136 Rancho Cucamonga, CA 6.8 12 +17.8% 207 368 27 137 Corona, CA 4.8 8 +32.4% 333 559 30 138 Glendale, CA 3.4 7 +98.9% 156 317 43 139 San Diego, CA 5.2 74 +24.6% 362 5,135 41 140 Salinas, CA 5.1 8 +14.4% 788 1,242 57 141 Tallahassee, FL 6.3 12 -0.50% 389 744 114 142 Jersey City, NJ 5.2 14 +19.7% 181 491 107 143 Montgomery, AL 7 14 -7.50% 423 844 107 144 Irvine, CA 4.3 12 +40.3% 70 194 34 145 Des Moines, IA 6 13 -1.90% 579 1,260 108 146 Ontario, CA 4 7 +32.9% 518 911 27 147 El Paso, TX 7.3 50 +1.8% 117 800 48 148 Fort Collins, CO 7.9 13 -16.10% 125 207 87 149 Lakewood, CO 5.8 9 -1.80% 770 1,193 78 150 Cape Coral, FL 7.6 14 -13.60% 93 170 111 151 Mesa, AZ 7.9 39 -8.90% 178 884 35 152 Santa Rosa, CA 5.1 9 +14.9% 234 411 81 153 Bellevue, WA 1.4 2 +27.9% 214 309 157 154 Virginia Beach, VA 5.6 25 +7.5% 102 459 117 155 Anchorage, AK 4.8 14 -5.40% 1,055 3,104 115 156 Santa Clarita, CA 4.7 10 +25.1% 194 410 29 157 Pasadena, TX 4.6 7 +14.0% 247 379 88 158 Rockford, IL 5.4 8 -3.10% 303 450 118 159 Frisco, TX 3.4 6 +28.5% 47 84 82 160 Yonkers, NY 1.5 3 +26.1% 90 182 126 161 Chula Vista, CA 4.1 11 +18.3% 281 761 32 162 Port St. Lucie, FL 5.8 11 -10.70% 46 87 142 163 New York, NY 2.4 207 +19.8% 67 5,735 120 164 Sioux Falls, SD 4 7 +10.1% 265 469 97 165 McKinney, TX 2.2 4 +26.2% 85 155 75 166 Laredo, TX 6.9 18 -18.80% 65 170 61 167 Brownsville, TX 6.5 12 -29.30% 77 141 72 168 Elk Grove, CA 2.9 5 +18.1% 123 211 60 169 Eugene, OR 3 5 -2.60% 323 545 140 170 Huntington Beach, CA 3 6 +16.2% 191 385 35 171 Scottsdale, AZ 6 15 -9.10% 98 246 30 172 Joliet, IL 2 3 +7.3% 112 165 121 173 McAllen, TX 5.6 8 -14.90% 32 46 48 174 Naperville, IL 2 3 +8.5% 32 47 114 175 Aurora, IL 2 4 +5.9% 87 176 116 176 Henderson, NV 3.3 10 +7.8% 212 641 27 177 Madison, WI 3.5 9 -13.20% 169 432 121 178 Peoria, AZ 4.2 7 -2.50% 141 237 34 179 Overland Park, KS 4.2 8 -15.00% 143 274 66 180 Chandler, AZ 3.9 10 -5.70% 147 372 28 181 Gilbert, AZ 3.3 8 -1.60% 56 135 30 182 Cary, NC 0.6 1 -12.10% 43 72 113 183 Olathe, KS 2.2 3 -16.50% 111 152 98 Get Your Rates Quote Now #blank# #blank# #blank# #blank# #blank# #blank# #blank#

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*the traffic fatality and vehicle theft rates are for every 100,000 state residents

