Monthly Traffic Safety Analysis

23,002 CRASHES IN
OHIO, OH
MAY 2021

In May 2021, Ohio reported 23,002 traffic crashes, resulting in 122 fatalities and 9,182 injuries. Analysis of contributing factors indicates that 'Following too Close' was the most cited improper action, attributed to 5,229 vehicle operators. The data shows that the majority of crashes, over 73%, occurred during daylight hours on dry roads.

23,002

Total Crash Events

122

Persons Killed

9,182

Persons Injured

19.4%

Hit-and-Run Rate

Note: "Persons Killed" (122) counts individual fatalities across all crash events. "Fatal" in the severity table below (115) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Aggregate counts from crash, person, and vehicle records

4,461

Hit-and-Run Crashes — May 2021

During this period, 4,461 crashes were classified as hit-and-run incidents, accounting for 19.4% of all reported crashes. This classification is based on the responding officer's initial determination at the scene that a driver involved in the crash left without providing required information.

Vulnerable Road User Casualties

Of the 122 total fatalities, 115 were motorists, and 7 were pedestrians. There were no cyclist fatalities recorded in this period. In terms of injuries, 9,009 motorists and 173 pedestrians were injured. No cyclist injuries were reported in the dataset for this period.

7

Pedestrians Killed

115

Motorists Killed

173

Pedestrians Injured

9,009

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash patterns show a distinct peak during the work week, culminating on Friday with 3,619 incidents. The single busiest hour for crashes was the 3 p.m. afternoon commute hour, which saw 1,957 crashes. A significant majority of collisions, 16,977 or 73.8%, occurred during daylight hours.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 23,002 crashes, 71.7% (16,502) resulted in no injuries and were classified as property-damage-only. The remaining incidents involved some level of injury, including 682 serious injuries, 3,238 minor injuries, and 2,465 possible injuries. There were 115 distinct fatal crashes, which resulted in a total of 122 fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 115 fatal crash events resulted in 122 persons killed.

Outcome by Severity (Crash Events)

Fatal115fatal crashes0.5%
Serious Injury682serious injury crashes3%
Minor Injury3,238minor injury crashes14.1%
Possible Injury2,465possible injury crashes10.7%
No Injury16,502no injury crashes71.7%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes occurred in ideal driving conditions. Data shows that 73.8% of crashes (16,977) happened in daylight, 66.5% (15,289) in clear weather, and 82.1% (18,891) on dry road surfaces. Crashes in adverse weather were less frequent, with 2,720 incidents occurring during rain.

Weather

Clear15,289 (66.5%)
Cloudy4,641 (20.2%)
Rain2,720 (11.8%)
Other/Unknown200 (0.9%)
Fog; Smog; Smoke92 (0.4%)
Snow27 (0.1%)
Sleet; Hail16 (0.1%)
Freezing Rain or Freezing Drizzle16 (0.1%)
Severe Crosswinds1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Weather condition at time of crash

Lighting

Daylight16,977 (73.8%)
Dark - Lighted Roadway2,796 (12.2%)
Dark - Roadway Not Lighted1,913 (8.3%)
Dawn/Dusk1,031 (4.5%)
Other/Unknown175 (0.8%)
Dark - Unknown Roadway Lighting110 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Lighting condition field

Road Surface

Dry18,891 (82.1%)
Wet3,850 (16.7%)
Other/Unknown149 (0.6%)
Ice32 (0.1%)
Water (Standing; Moving)32 (0.1%)
Snow22 (0.1%)
Slush15 (0.1%)
Sand; Mud; Dirt; Oil; Gravel11 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Road surface condition field

Vehicles & Demographics

Among the 52,199 people involved in crashes, the 26-34 age group was the most represented, accounting for 8,321 individuals. Of the 41,451 vehicles involved, domestic brands were most frequent, led by Chevrolet with 6,249 vehicles and Ford with 5,861 vehicles. Honda was the third most common make with 3,585 vehicles involved in collisions.

Top Vehicle Makes (41,451 vehicles)

1
CHEVROLET6,249 (15.1%)
2
FORD5,861 (14.1%)
3
HONDA3,585 (8.6%)
4
TOYOTA2,986 (7.2%)
5
DODGE2,168 (5.2%)
6
NISSAN1,868 (4.5%)
7
JEEP1,607 (3.9%)
8
HYUNDAI1,597 (3.9%)
9
KIA1,500 (3.6%)
10
GMC1,061 (2.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Vehicle unit records

4,246 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (48,968 persons with recorded sex)

Male26,582 (54.3%)
Female22,386 (45.7%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The vast majority of incidents, 19,148 crashes, had their first harmful event occur on the main roadway. However, a notable number of crashes originated off the primary travel lanes, with 1,897 occurring on the roadside, 810 on the shoulder, and 165 in the median. Combined, these run-off-road incidents account for 2,872 crashes, or 12.5% of the total.

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (233 records): Driveway/Alley access (106), On ramp (79), On Gore (17), Crossover (10), Railway grade crossing (9), Shared-use paths or trails (6), Toll Booth (5), Bike Lane (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash-level records

Traffic Control Device

Analysis of traffic controls associated with the 41,451 vehicle units in crashes shows that the largest number, 26,831, were in areas with no traffic control device present. Signalized intersections were associated with 10,564 vehicle units in crashes, while locations with stop signs were associated with 3,111 units.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Vehicle unit records

Driver Contributing Factor

Among contributing factors cited for drivers involved in crashes, 'Following too Close / ACDA' was the most common, noted for 5,229 drivers. This was followed by 'Failure to Yield', which was cited for 3,281 drivers, and 'Drove off Road', attributed to 2,203 drivers.

Driver Contributing Factor

1
Following too Close / ACDA5,229 (24.5%)
2
Failure to Yield3,281 (15.3%)
3
Other Improper Action2,821 (13.2%)
4
Drove off Road2,203 (10.3%)
5
Improper Lane Change1,306 (6.1%)
6
Unsafe Speed880 (4.1%)
7
Improper Backing838 (3.9%)
8
Not Discernible815 (3.8%)
9
Ran Red Light752 (3.5%)

Showing top 9 of 23 reported. 14 additional (3,255 total) not shown: Improper Turn, Left of Center, Ran Stop Sign, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Improper Crossing, Wrong Way, Vision Obstruction, Stopped or Parked Illegally, Opening Door into Roadway, Lying in Roadway.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Vehicle unit records

Commercial / Truck Involvement

Crashes in May 2021 involved 1,635 commercial trucks. Of these, 889 were classified as semi-tractor trailers, and 746 were categorized as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

There were 863 crashes involving vulnerable road users or motorcyclists. Motorcyclists were involved in 571 of these incidents, while pedestrians were involved in 184 crashes and bicyclists in 108 crashes. Combined, pedestrians and bicyclists accounted for 292 crashes.

Animal-Involved Crashes

A total of 1,540 crashes were reported as involving an animal, representing 6.7% of all crashes. The vast majority of these incidents, 1,435 crashes, specifically involved deer, with the remaining 105 involving other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 1,287 crashes, or 5.6% of the total for the month. Among these, alcohol was the sole factor in 897 incidents, drugs were the sole factor in 226, and a combination of alcohol and drugs was noted in 164 crashes.

Driver Condition

While most drivers were listed as 'Apparently Normal', several adverse conditions were noted. A total of 1,077 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 292 drivers were reported to have fallen asleep, fainted, or been fatigued, and 177 had a physical impairment.

Driver Condition

1
Apparently Normal32,724 (87.6%)
2
Other/Unknown2,848 (7.6%)
3
Under the Influence of Medications / Drugs / Alcohol1,077 (2.9%)
4
Fell Asleep; Fainted; Fatigued; etc.292 (0.8%)
5
Physical Impairment177 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)162 (0.4%)
7
Illness89 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Person-level records linked to crash events

Driver Distraction

Among drivers for whom a distraction was noted, the most common category was 'Other distraction inside the vehicle,' with 607 instances. This was followed by 'Other distraction outside the vehicle' (446 drivers). Electronic device use was also a factor, with 178 drivers engaged in an activity with an electronic device and 174 manually operating one.

Driver Distraction

1
Not Distracted32,034 (86.4%)
2
Other/Unknown3,467 (9.4%)
3
Other distraction inside the vehicle607 (1.6%)
4
Other distraction outside the vehicle446 (1.2%)
5
Other activity with an electronic device178 (0.5%)
6
Manually operating an electronic communication device (texting; typing; dialing)174 (0.5%)
7
Passenger83 (0.2%)
8
Talking on hand-held communication device61 (0.2%)
9
Talking on hands-free communication device16

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Person-level records linked to crash events

Road Alignment

The roadway geometry was straight and level for the majority of crashes (17,606). However, 4,181 crashes (18.2%) occurred on a grade, and 2,192 crashes (9.5%) occurred on a curve. Crashes on a curve with a grade accounted for 1,022 of these incidents.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash-level records

Top Cities

The geographic distribution of crashes was concentrated in Ohio's largest municipalities. Cleveland reported the most incidents with 1,419, followed by Cincinnati with 1,341 and Columbus with 1,271. Together, these three cities accounted for 4,031 crashes, representing 17.5% of the statewide total.

Top Cities

1
Cleveland1,419 (12.4%)
2
Cincinnati1,341 (11.7%)
3
Columbus1,271 (11.1%)
4
Toledo999 (8.7%)
5
Akron564 (4.9%)
6
Dayton397 (3.5%)
7
Union (Township Of)300 (2.6%)
8
Canton255 (2.2%)
9
Jackson (Township Of)243 (2.1%)

Showing top 9 of 50 reported. 41 additional (4,671 total) not shown: Liberty (Township Of), Springfield (Township Of), Springfield, Green (Township Of), Washington (Township Of), Youngstown, Hamilton, Franklin (Township Of), Harrison (Township Of), Colerain (Township Of), Miami (Township Of), West Chester (Township Of) Aka Union Township, Perry (Township Of), Madison (Township Of), Jefferson (Township Of), Mansfield, Lancaster, Mentor, Elyria, Cuyahoga Falls, Lorain, Zanesville, Boardman (Township Of), Lima, Middletown, Garfield Heights, Sharonville, Euclid, Findlay, Fairfield, Parma, Huber Heights, Warren, Reynoldsburg, Bath (Township Of), Beavercreek, Newark, Pleasant (Township Of), Monroe (Township Of), Richland (Township Of), Clinton (Township Of).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash-level records

Pre-Crash Driver Action

Analysis of the 41,451 vehicles involved in crashes shows that the most common pre-crash action was driving 'Straight Ahead,' reported for 22,153 vehicles (53.4%). The second most frequent action was 'Slowing or Stopped In Traffic,' which accounted for 6,126 vehicles.

Pre-Crash Driver Action

1
Straight Ahead22,153 (53.4%)
2
Slowing or Stopped In Traffic6,126 (14.8%)
3
Making Left Turn3,375 (8.1%)
4
Parked2,327 (5.6%)
5
Changing Lanes1,371 (3.3%)
6
Making Right Turn1,191 (2.9%)
7
Negotiating a Curve1,103 (2.7%)
8
Other/Unknown1,088 (2.6%)
9
Backing1,056 (2.5%)

Showing top 9 of 20 reported. 11 additional (1,661 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Approaching or Leaving Vehicle, Working.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Vehicle unit records

Manner of Collision

The most frequent crash type was 'Not Collision Between Two Vehicles in Transport,' which includes single-vehicle crashes and collisions with objects or pedestrians, accounting for 7,643 incidents (33.2%). For crashes between two vehicles, rear-end collisions were the most common, with 5,613 incidents, making up 24.4% of all crashes.

Manner of Collision

"Other" combines 2 smaller categories (518 records): Sideswipe; opposite direction (461), Rear-to-rear (57).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash-level records

Vehicle Type

Of the 41,451 vehicles involved in crashes, passenger cars were the most common type, accounting for 21,157 units. Sport Utility Vehicles were the second most frequent with 9,381 units, followed by pickup trucks with 4,512 units. Commercial vehicles, including semi-tractors and single unit trucks, were involved in over 1,463 instances.

Vehicle Type

"Other" combines 19 smaller categories (2,085 records): Cargo Van (540), Single Unit Truck (509), Other Vehicle (197), Bus (16+ Passengers) (196), Pedestrian/Skater (188), Van (9-15 Seats) (123), Bicycle (108), Heavy Equipment (58), Farm Equipment (46), All Terrain Vehicle (ATV/UTV) (39), Moped or Motorized Bicycle (21), Motorhome (18), Animal with Rider or Animal Drawn Vehicle (17), Motorcycle 3 Wheeled (11), Wheelchair (Any type) (6), Golf Cart (4), Limo (Livery Vehicle) (2), Train (1), Autocycle (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Vehicle unit records

Person Type

A total of 52,199 individuals were involved in crashes during this period. The majority, 38,648 people (74.0%), were drivers. Vehicle occupants or passengers constituted the next largest group with 13,354 individuals (25.6%), while pedestrians accounted for 197 people (0.4%).

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash-level records

Person Injury Severity

Of the 52,199 people involved in crashes, 9,182 sustained some level of injury, representing 17.6% of all individuals. Fatal injuries were recorded for 122 people, which is 0.23% of the total number of persons involved. The largest group, 41,254 people, reported no injuries.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash-level records

Occupant Safety Equipment

Among the 52,199 individuals involved in crashes, 40,134 were recorded as using a shoulder and lap belt. A total of 2,906 occupants were recorded as using no safety equipment at the time of the crash. Additionally, 1,862 individuals were using a child restraint system or booster seat.

Occupant Safety Equipment

"Other" combines 5 smaller categories (555 records): Lap Belt Only Used (274), Helmet Used (273), Lighting - Pedestrian / Bicycle Only (4), Protective Pads Used (Elbow; knees; etc.) (3), Reflective Clothing (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Person-level records linked to crash events

Vehicles Per Crash

The most common crash configuration involved two vehicles, accounting for 15,365 incidents or 66.8% of the total. Single-vehicle crashes were the next most frequent, with 6,232 incidents (27.1%). Crashes involving three or more vehicles were less common, with 1,405 such incidents reported.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 8 (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-05-01 to 2021-05-31 · Crash-level records

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Csv Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2021-05-01 through 2021-05-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-05-01 through 2021-05-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 23,002
  • Total persons involved: 52,199
  • Total vehicles involved: 41,451

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "ohio, OH Crash Intelligence Report: May 2021." Published July 5, 2026. Reporting period: 2021-05-01 to 2021-05-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/may-2021-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Ohio (Statewide) Crash Report — May 2021 | ThatCarHitMe.com