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Fatal Crashes in Ohio
7854 fatal crashes and 8500 fatalities from 2017-2023. Data from NHTSA FARS.
Need crash data for a specific Ohio address? Pull a full intersection report — every fatal crash within any radius, with map, vehicles, AI analysis.
Crashes by year
| Year | Crashes | Fatalities | Drunk driver |
|---|
| 2017 | 1,094 | 1,179 | 341 |
| 2018 | 996 | 1,068 | 296 |
| 2019 | 1,039 | 1,153 | 343 |
| 2020 | 1,154 | 1,230 | 394 |
| 2021 | 1,242 | 1,354 | 401 |
| 2022 | 1,179 | 1,274 | 359 |
| 2023 | 1,150 | 1,242 | 363 |
Worst counties in Ohio
The top counties by fatal crash count. Need crash history at a specific location within these counties? Our intersection report shows every fatal crash within any radius, with vehicle details, person demographics, and a map.
Worst cities in Ohio
Fatal crashes by city. Attorneys investigating a crash in any of these cities can get a full crash history report for the specific intersection - including prior crashes, time-of-day patterns, and impairment data.
| City | Crashes | Fatalities |
|---|
| COLUMBUS | 526 | 567 |
| CLEVELAND | 378 | 397 |
| CINCINNATI | 223 | 240 |
| TOLEDO | 209 | 217 |
| AKRON | 134 | 148 |
| DAYTON | 130 | 146 |
| CANTON | 55 | 57 |
| YOUNGSTOWN | 52 | 58 |
| SPRINGFIELD | 41 | 44 |
| EUCLID | 38 | 40 |
| MIDDLETOWN | 32 | 32 |
| LORAIN | 26 | 27 |
| TROTWOOD | 25 | 30 |
| RIVERSIDE | 23 | 28 |
| HAMILTON | 21 | 21 |
When crashes happen
By month
| Month | Crashes |
|---|
| January | 539 |
| February | 430 |
| March | 558 |
| April | 539 |
| May | 690 |
| June | 720 |
| July | 805 |
| August | 807 |
| September | 799 |
| October | 729 |
| November | 648 |
| December | 590 |
Most dangerous hours
Peak hours matter for fleet safety teams scheduling routes and for attorneys establishing time-of-day patterns at a crash location.
| Hour | Crashes |
|---|
| 18:00 | 459 |
| 17:00 | 448 |
| 20:00 | 441 |
| 16:00 | 440 |
| 19:00 | 437 |
| 22:00 | 430 |
| 21:00 | 428 |
| 15:00 | 421 |
| 14:00 | 407 |
| 13:00 | 377 |
Vehicles involved in fatal crashes
Top vehicle makes in Ohio fatal crashes. Insurance actuaries use vehicle-level crash data for risk scoring - our API lets you query by make, model, body type, and rollover status.
| Make | Vehicles involved |
|---|
| Chevrolet | 1,912 |
| Ford | 1,681 |
| Honda | 1,064 |
| Dodge | 736 |
| Toyota | 663 |
| Harley-Davidson | 659 |
| Jeep / Kaiser-Jeep / Willys- Jeep | 391 |
| GMC | 340 |
| Nissan/Datsun | 336 |
| Hyundai | 334 |
Conditions
Weather
| Weather | Crashes |
|---|
| Clear | 4,849 |
| Cloudy | 2,026 |
| Rain | 657 |
| Snow | 167 |
| Fog, Smog, Smoke | 77 |
| Sleet or Hail | 22 |
| Not Reported | 14 |
| Reported as Unknown | 14 |
Collision type
| Type | Crashes |
|---|
| Single vehicle / pedestrian / object | 4,558 |
| Angle | 1,589 |
| Front-to-Front | 909 |
| Front-to-Rear | 504 |
| Sideswipe - Same Direction | 156 |
| Sideswipe - Opposite Direction | 108 |
| Other | 13 |
| Reported as Unknown | 12 |
| Rear-to-Side | 5 |
Need crash data for a specific location in Ohio?
Our intersection report shows every fatal crash within any radius of a GPS coordinate - with a map, event sequence, contributing factors, vehicle and person details. Used by attorneys for discovery and insurance teams for risk assessment.
For programmatic access to all Ohio crash data, see the API guide. $19/mo for full access.
Data source: NHTSA Fatality Analysis Reporting System (FARS), 2017-2023. Updated annually.
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