Monthly Traffic Safety Analysis

22,609 CRASHES IN
OHIO, OH
SEPTEMBER 2021

In September 2021, Ohio recorded 22,609 traffic crashes, resulting in 137 fatalities and 9,004 injuries. Analysis of collision types reveals that single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport', were the most frequent category, accounting for 29.4% of all crashes. Rear-end collisions followed closely, making up 26.6% of the total.

22,609

Total Crash Events

137

Persons Killed

9,004

Persons Injured

17.9%

Hit-and-Run Rate

Note: "Persons Killed" (137) counts individual fatalities across all crash events. "Fatal" in the severity table below (130) 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 · 2021-09-01 to 2021-09-30 · Aggregate counts from crash, person, and vehicle records

4,043

Hit-and-Run Crashes — September 2021

A total of 4,043 crashes, representing 17.9% of all incidents in this period, were classified as hit-and-run events. This classification is based on the determination made by the responding law enforcement officer at the scene of the crash. The data does not provide further detail on the outcomes or circumstances of these specific events.

Vulnerable Road User Casualties

Of the individuals killed or injured, motorists comprised the largest group, with 125 fatalities and 8,785 injuries. Vulnerable road users also sustained significant harm, with 12 pedestrians killed and 219 injured. The data for this period recorded zero cyclist fatalities or injuries.

12

Pedestrians Killed

125

Motorists Killed

219

Pedestrians Injured

8,785

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequency peaked midweek, with Wednesday recording the highest number of incidents at 4,297. Hourly data shows distinct peaks during afternoon commute hours, with both the 3 PM and 4 PM hours experiencing the most crashes (1,919 each). While most crashes occurred during daylight (15,962), a substantial number, 5,229, happened in dark conditions, both on lighted and unlighted roadways.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The vast majority of crashes, 72% (16,286 incidents), resulted in no injuries and were classified as property-damage-only. Crashes involving some level of injury accounted for 27.5% of the total, encompassing possible, minor, and serious injuries. There were 130 fatal crashes during this period, which resulted in a total of 137 fatalities, indicating some incidents involved more than one death.

Severity is per crash event (most severe injury). 130 fatal crash events resulted in 137 persons killed.

Outcome by Severity (Crash Events)

Fatal130fatal crashes0.6%
Serious Injury600serious injury crashes2.7%
Minor Injury3,202minor injury crashes14.2%
Possible Injury2,391possible injury crashes10.6%
No Injury16,286no injury crashes72%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes occurred in ideal driving conditions. Data shows that 74.3% of incidents happened in clear weather, 86.0% on dry road surfaces, and 70.6% during daylight hours. Conversely, 2,280 crashes were recorded during rain, 3,020 occurred on wet roads, and 5,229 took place in dark conditions.

Weather

Clear16,795 (74.3%)
Cloudy3,257 (14.4%)
Rain2,280 (10.1%)
Other/Unknown171 (0.8%)
Fog; Smog; Smoke97 (0.4%)
Freezing Rain or Freezing Drizzle3 (0.0%)
Sleet; Hail3 (0.0%)
Snow2 (0.0%)
Severe Crosswinds1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Weather condition at time of crash

Lighting

Daylight15,962 (70.6%)
Dark - Lighted Roadway3,005 (13.3%)
Dark - Roadway Not Lighted2,224 (9.8%)
Dawn/Dusk1,155 (5.1%)
Other/Unknown173 (0.8%)
Dark - Unknown Roadway Lighting90 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Lighting condition field

Road Surface

Dry19,431 (85.9%)
Wet3,020 (13.4%)
Other/Unknown123 (0.5%)
Sand; Mud; Dirt; Oil; Gravel17 (0.1%)
Water (Standing; Moving)16 (0.1%)
Snow2 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Road surface condition field

Vehicles & Demographics

Among the 52,428 people involved in crashes, individuals in the 26-34 age group were the most represented, accounting for 8,257 participants. The 35-44 age group followed with 6,971 individuals. An analysis of the 41,834 vehicles involved shows that Chevrolet was the most frequent make with 6,244 vehicles, followed by Ford with 5,927 and Honda with 3,654.

Top Vehicle Makes (41,834 vehicles)

1
CHEVROLET6,244 (14.9%)
2
FORD5,927 (14.2%)
3
HONDA3,654 (8.7%)
4
TOYOTA3,196 (7.6%)
5
DODGE2,145 (5.1%)
6
NISSAN1,843 (4.4%)
7
JEEP1,610 (3.8%)
8
HYUNDAI1,548 (3.7%)
9
KIA1,487 (3.6%)
10
GMC1,089 (2.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records

4,000 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (49,460 persons with recorded sex)

Male26,874 (54.3%)
Female22,586 (45.7%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The initial point of impact for most crashes was on the primary travel lanes, with 19,174 incidents occurring 'On Roadway'. A notable portion, however, were run-off-road events. Crashes that occurred 'On Roadside' (1,652), 'On Shoulder' (699), or 'In Median' (113) collectively account for 2,464 incidents, or approximately 10.9% of the total.

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (233 records): On ramp (91), Driveway/Alley access (91), On Gore (19), Toll Booth (10), Shared-use paths or trails (10), Railway grade crossing (7), Crossover (4), Bike Lane (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records

Traffic Control Device

Data on traffic control devices associated with vehicles in crashes indicates that a majority, 26,714, were in areas with 'No Control'. Signalized intersections were the location for 11,037 involved vehicles. Stop signs were the third most common control type present, noted for 3,120 vehicles.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records

Driver Contributing Factor

Analysis of contributing factors attributed to drivers shows that 'Following too Close / ACDA' was the most common improper action, cited in 5,635 instances. 'Failure to Yield' was the second-leading factor with 3,536 citations, followed by 'Drove off Road' (1,919 instances) and 'Improper Lane Change' (1,220 instances).

Driver Contributing Factor

1
Following too Close / ACDA5,635 (26.4%)
2
Failure to Yield3,536 (16.5%)
3
Other Improper Action2,623 (12.3%)
4
Drove off Road1,919 (9%)
5
Improper Lane Change1,220 (5.7%)
6
Not Discernible876 (4.1%)
7
Improper Backing800 (3.7%)
8
Ran Red Light788 (3.7%)
9
Unsafe Speed725 (3.4%)

Showing top 9 of 23 reported. 14 additional (3,259 total) not shown: Improper Turn, Left of Center, Improper Passing, Ran Stop Sign, Swerving to Avoid, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Vision Obstruction, Wrong Way, Stopped or Parked Illegally, Opening Door into Roadway, Lying in Roadway.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records

Commercial / Truck Involvement

Crashes involving commercial trucks accounted for 1,728 incidents, representing 7.6% of all crashes during this period. Of these, 934 involved a semi-tractor trailer, while the remaining 794 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

There were 914 crashes involving motorcyclists, pedestrians, or bicyclists. Motorcyclists were involved in 531 of these incidents. Vulnerable road users, defined as pedestrians and bicyclists, were involved in a combined 383 crashes, with 236 involving pedestrians and 147 involving bicyclists.

Animal-Involved Crashes

A total of 1,112 crashes involved collisions with animals, making up 4.9% of all incidents. The vast majority of these, 1,005 crashes, were strikes involving deer. The remaining 107 incidents involved other, unspecified animals.

Impairment (Alcohol / Drugs)

Impairment was a noted factor in 1,106 crashes, or 4.9% of the total. Alcohol was the most frequently cited substance, involved in 785 incidents. Drugs were noted in 209 incidents, and a combination of alcohol and drugs was recorded in 112 cases.

Driver Condition

While most drivers were recorded as 'Apparently Normal,' several adverse conditions were noted. A total of 914 drivers were recorded as being under the influence of medications, drugs, or alcohol. Another 242 drivers reportedly 'Fell Asleep, Fainted, Fatigued,' and 167 had a 'Physical Impairment.'

Driver Condition

1
Apparently Normal33,760 (89.4%)
2
Other/Unknown2,437 (6.5%)
3
Under the Influence of Medications / Drugs / Alcohol914 (2.4%)
4
Fell Asleep; Fainted; Fatigued; etc.242 (0.6%)
5
Physical Impairment167 (0.4%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)137 (0.4%)
7
Illness99 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events

Driver Distraction

Among drivers for whom a distraction was recorded, the leading factor was 'Other distraction inside the vehicle,' noted for 592 drivers. This was followed by 'Other distraction outside the vehicle' (466 drivers). Distractions involving electronic devices were also significant, with 176 drivers 'Manually operating an electronic communication device' and 171 engaged in 'Other activity with an electronic device.'

Driver Distraction

1
Not Distracted32,739 (87.2%)
2
Other/Unknown3,257 (8.7%)
3
Other distraction inside the vehicle592 (1.6%)
4
Other distraction outside the vehicle466 (1.2%)
5
Manually operating an electronic communication device (texting; typing; dialing)176 (0.5%)
6
Other activity with an electronic device171 (0.5%)
7
Passenger77 (0.2%)
8
Talking on hand-held communication device45 (0.1%)
9
Talking on hands-free communication device14

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events

Road Alignment

The roadway geometry was straight and level for the majority of crashes (17,438). However, a notable number occurred on non-level or curved sections. Crashes on grades (both straight and curved) accounted for 4,049 incidents, or 17.9% of the total. Crashes on curves (both level and graded) accounted for 2,028 incidents, representing 9.0% of all crashes.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records

Top Cities

The geographic distribution of crashes was concentrated in urban areas. The top three municipalities by crash volume were Cleveland (1,352 crashes), Cincinnati (1,342 crashes), and Columbus (1,204 crashes). Combined, these three cities accounted for 3,900 crashes, representing 17.2% of the statewide total for the month.

Top Cities

1
Cleveland1,352 (12.2%)
2
Cincinnati1,342 (12.1%)
3
Columbus1,204 (10.8%)
4
Toledo887 (8%)
5
Akron584 (5.2%)
6
Dayton392 (3.5%)
7
Springfield (Township Of)291 (2.6%)
8
Union (Township Of)251 (2.3%)
9
Jackson (Township Of)243 (2.2%)

Showing top 9 of 50 reported. 41 additional (4,581 total) not shown: Green (Township Of), Canton, Springfield, Liberty (Township Of), Hamilton, Colerain (Township Of), Washington (Township Of), Youngstown, West Chester (Township Of) Aka Union Township, Miami (Township Of), Harrison (Township Of), Perry (Township Of), Lima, Mansfield, Franklin (Township Of), Madison (Township Of), Mentor, Cuyahoga Falls, Jefferson (Township Of), Elyria, Lorain, Boardman (Township Of), Westerville, Parma, Plain (Township Of), Zanesville, Sharonville, Lancaster, Middletown, Fairfield, Euclid, Huber Heights, Anderson (Township Of), Findlay, Reynoldsburg, Newark, Monroe (Township Of), Beavercreek, Springdale, Concord (Township Of), Garfield Heights.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records

Pre-Crash Driver Action

Analysis of the 41,834 vehicles involved in crashes shows that the most common pre-crash action was 'Straight Ahead,' recorded for 21,979 vehicles (52.5%). The second most frequent action was 'Slowing or Stopped In Traffic,' which accounted for 6,587 vehicles (15.7%). 'Making Left Turn' was the third most common action, noted for 3,591 vehicles (8.6%).

Pre-Crash Driver Action

1
Straight Ahead21,979 (52.5%)
2
Slowing or Stopped In Traffic6,587 (15.7%)
3
Making Left Turn3,591 (8.6%)
4
Parked2,223 (5.3%)
5
Changing Lanes1,332 (3.2%)
6
Making Right Turn1,269 (3%)
7
Negotiating a Curve1,108 (2.6%)
8
Backing1,005 (2.4%)
9
Other/Unknown975 (2.3%)

Showing top 9 of 21 reported. 12 additional (1,765 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Working, Standing Outside Disabled Vehicle, Approaching or Leaving Vehicle.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records

Manner of Collision

The most frequent crash type was 'Not Collision Between Two Vehicles in Transport,' representing 29.4% (6,641) of all incidents, which typically indicates single-vehicle crashes. This was followed by 'Rear-end' collisions, which accounted for 26.6% (6,013) of crashes. 'Angle' collisions were the third most common type, making up 24.2% (5,477) of the total.

Manner of Collision

"Other" combines 2 smaller categories (567 records): Head-on (507), Rear-to-rear (60).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 20,914 (50.0%) of the 41,834 vehicles recorded. Sport Utility Vehicles were the second most common, with 9,661 vehicles (23.1%). Heavier vehicles such as semi-tractors, buses, and single unit trucks collectively represented about 4.3% of the vehicles involved.

Vehicle Type

"Other" combines 19 smaller categories (2,288 records): Single Unit Truck (557), Motorcycle 2 Wheeled (534), Pedestrian/Skater (243), Bus (16+ Passengers) (233), Other Vehicle (209), Bicycle (148), Van (9-15 Seats) (137), Heavy Equipment (74), Farm Equipment (34), All Terrain Vehicle (ATV/UTV) (26), Motorcycle 3 Wheeled (22), Motorhome (20), Animal with Rider or Animal Drawn Vehicle (15), Moped or Motorized Bicycle (14), Wheelchair (Any type) (5), Golf Cart (5), Autocycle (5), Limo (Livery Vehicle) (4), Train (3).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records

Person Type

Of the 52,428 individuals involved in crashes, the majority were drivers, accounting for 39,103 people (74.6%). Vehicle occupants (passengers) were the next largest group, with 13,071 individuals (24.9%). Pedestrians made up a smaller but critical group, with 254 individuals involved.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records

Person Injury Severity

Among all 50,768 persons with a recorded injury status, 9,141 individuals (18.0%) sustained some level of injury or were fatally wounded. This includes 137 fatalities, 741 serious injuries, 4,413 minor injuries, and 3,850 possible injuries. The majority of individuals involved, 41,627 people, were not injured.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records

Occupant Safety Equipment

Among the 52,028 vehicle occupants whose safety equipment use was recorded, 3,084 individuals (5.9%) were documented as using 'None Used'. The most common status was 'Shoulder and Lap Belt Used', reported for 40,504 occupants. This indicates that a small but significant minority of occupants were not using available restraints.

Occupant Safety Equipment

"Other" combines 5 smaller categories (575 records): Lap Belt Only Used (305), Helmet Used (258), Lighting - Pedestrian / Bicycle Only (8), Protective Pads Used (Elbow; knees; etc.) (3), Reflective Clothing (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events

Vehicles Per Crash

The data shows that two-vehicle collisions were the most common scenario, accounting for 15,996 crashes or 70.7% of the total. Single-vehicle crashes were the next most frequent, with 5,137 incidents (22.7%). Crashes involving three or more vehicles were less common, making up the remaining 6.5% of incidents.

Vehicles Per Crash

"Other" combines 3 smaller categories (3 records): 8 (1), 12 (1), 9 (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · 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: 2021-09-01 through 2021-09-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-09-01 through 2021-09-30 (30 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 22,609
  • Total persons involved: 52,428
  • Total vehicles involved: 41,834

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: September 2021." Published July 5, 2026. Reporting period: 2021-09-01 to 2021-09-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/september-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 — September 2021 | ThatCarHitMe.com