ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · OCTOBER 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/october-2021-report
Monthly Traffic Safety Analysis
26,589 CRASHES IN
OHIO, OH
OCTOBER 2021
In October 2021, Ohio recorded 26,589 traffic crashes, resulting in 119 fatalities and 9,466 injuries. A significant portion of these incidents occurred on Fridays, which saw 5,416 crashes, substantially more than any other day of the week. The data also indicates that the most frequent time for crashes was during the 4 p.m. hour, with 2,076 incidents.
26,589
Total Crash Events
119
Persons Killed
9,466
Persons Injured
17.5%
Hit-and-Run Rate
Note: "Persons Killed" (119) counts individual fatalities across all crash events. "Fatal" in the severity table below (107) 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 · 2021-10-01 to 2021-10-31 · Aggregate counts from crash, person, and vehicle records
4,652
Hit-and-Run Crashes — October 2021
During this period, 4,652 crashes were classified as hit-and-run incidents, accounting for 17.5% of all reported crashes. This determination is based on the responding officer's initial assessment at the scene of the collision.
Vulnerable Road User Casualties
In October 2021, motorists accounted for the majority of casualties, with 105 individuals killed and 9,214 injured. Among vulnerable road users, 14 pedestrians were killed and 252 were injured in traffic collisions. The data reported no fatalities or injuries for cyclists during this period.
14
Pedestrians Killed
105
Motorists Killed
252
Pedestrians Injured
9,214
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences peaked on Fridays, with 5,416 incidents reported, significantly higher than other days of the week. The most frequent time for crashes was the 4 p.m. hour, which saw 2,076 events, followed by the 3 p.m. hour with 2,058. Analysis of lighting conditions shows that 15,620 crashes occurred during daylight, while 8,994 took place in dark conditions, either on lighted or unlighted roadways.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 74.8% (19,899 incidents), resulted in no injuries. Injury-related crashes accounted for 24.7% of the total, distributed among serious (562), minor (3,274), and possible (2,747) injury categories. There were 107 fatal crashes, which resulted in a total of 119 fatalities, indicating some crashes involved more than one death.
Severity is per crash event (most severe injury). 107 fatal crash events resulted in 119 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Most severe injury per crash record
Road & Environmental Conditions
The data indicates that most crashes occurred in favorable conditions, with 14,299 crashes happening in clear weather and 18,814 on dry road surfaces. A total of 15,620 crashes occurred during daylight hours. Regarding adverse conditions, 5,062 crashes were reported during rain, and 7,559 occurred on wet roads.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 9,390 individuals. Among the 47,244 vehicles involved, the most frequent makes were Chevrolet (6,855 vehicles), Ford (6,758 vehicles), and Honda (4,184 vehicles).
Top Vehicle Makes (47,244 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records
4,523 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (56,327 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The vast majority of crashes, 22,610 incidents, had their first harmful event occur on the roadway. A notable number of crashes, 2,936 in total, were run-off-road events, with 1,970 occurring on the roadside, 815 on the shoulder, and 151 in the median. These run-off-road incidents represent approximately 11% of all crashes.
Crash Location (First Harmful Event)
"Other" combines 7 smaller categories (235 records): On ramp (104), Driveway/Alley access (77), On Gore (23), Railway grade crossing (11), Toll Booth (9), Shared-use paths or trails (7), Crossover (4).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls at crash locations shows that a majority of vehicles, 30,864, were involved in crashes where no traffic control device was present. Crashes at signalized intersections involved 12,033 vehicles, while those at locations with stop signs involved 3,427 vehicles.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records
Driver Contributing Factor
The most frequently cited contributing factor for vehicles involved in crashes was 'Following too Close / ACDA,' attributed to 6,095 vehicles. 'Failure to Yield' was the second most common factor, noted for 3,725 vehicles. 'Drove off Road' was listed as a contributing circumstance for 2,319 vehicles involved in collisions.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (3,491 total) not shown: Ran Red Light, Left of Center, Ran Stop Sign, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Improper Crossing, Vision Obstruction, Stopped or Parked Illegally, Wrong Way, Opening Door into Roadway, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 1,919 commercial trucks were involved in crashes during this period. This included 1,090 semi-tractor trailers and 829 other types of commercial vehicles. These vehicles represent a notable category due to their size and potential crash severity.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users and motorcyclists included 279 incidents with motorcyclists, 275 with pedestrians, and 117 with bicyclists. Combined, there were 392 crashes involving pedestrians and bicyclists. These types of crashes are often associated with higher rates of serious injury or fatality.
Animal-Involved Crashes
There were 2,920 crashes involving animals, which constitutes approximately 11% of all crashes in October. The vast majority of these incidents, 2,808 crashes, were collisions with deer. An additional 112 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 1,248 crashes, representing 4.7% of the total for the month. Among these incidents, alcohol was suspected in 899 cases, drugs in 231 cases, and a combination of both in 118 cases. These figures represent a minimum, as impairment can be under-reported at the scene.
Driver Condition
Beyond 'Apparently Normal' drivers, several adverse driver conditions were recorded for the 44,476 drivers in the dataset. A total of 1,001 drivers were noted as being under the influence of medications, drugs, or alcohol. Additionally, 267 drivers were reported as having fallen asleep, fainted, or being fatigued, and 179 had a physical impairment.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events
Driver Distraction
Among the 44,476 drivers involved in crashes, specific distractions were noted for a subset. The most common recorded distractions were 'Other distraction inside the vehicle' (579 drivers) and 'Other distraction outside the vehicle' (475 drivers). Electronic device use was also a factor, with 172 drivers manually operating a device and 156 engaged in another activity with an electronic device.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events
Road Alignment
While most crashes (20,202) occurred on straight, level roads, a significant number happened on more challenging alignments. Crashes on roads with a grade (either straight or curved) totaled 4,972 incidents. Additionally, 2,579 crashes occurred on curves, representing 9.7% of all crashes.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records
Top Cities
The geographic distribution of crashes is concentrated in major urban centers. Cleveland saw the highest volume with 1,478 crashes, followed by Cincinnati with 1,411 and Columbus with 1,307. Together, these three cities accounted for 4,196 crashes, representing approximately 15.8% of the statewide total for the month.
Top Cities
Showing top 9 of 50 reported. 41 additional (5,380 total) not shown: Liberty (Township Of), Canton, Springfield, Green (Township Of), Washington (Township Of), Miami (Township Of), Perry (Township Of), Harrison (Township Of), Hamilton, Franklin (Township Of), Colerain (Township Of), West Chester (Township Of) Aka Union Township, Jefferson (Township Of), Youngstown, Lancaster, Mentor, Mansfield, Madison (Township Of), Cuyahoga Falls, Lorain, Zanesville, Boardman (Township Of), Fairfield, Lima, Findlay, Sharonville, Middletown, Orange (Township Of), Monroe (Township Of), Elyria, Parma, Anderson (Township Of), Deerfield (Township Of), Richland (Township Of), Green, Bath (Township Of), Reynoldsburg, Plain (Township Of), Sylvania (Township Of), Huber Heights, Westerville.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records
Pre-Crash Driver Action
The most common pre-crash action for vehicles was 'Straight Ahead,' which was reported for 25,570 units. The second most frequent action was 'Slowing or Stopped In Traffic,' accounting for 6,970 vehicles. 'Making Left Turn' was the third most common maneuver, reported for 4,006 vehicles involved in collisions.
Pre-Crash Driver Action
Showing top 9 of 21 reported. 12 additional (1,819 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, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle, Working.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records
Manner of Collision
The most common crash type was a single-vehicle collision, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 9,329 incidents or 35.1% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent, with 6,401 incidents representing 24.1% of all crashes. Angle collisions were the third most common type, with 5,854 incidents.
Manner of Collision
"Other" combines 2 smaller categories (608 records): Sideswipe; opposite direction (540), Rear-to-rear (68).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 23,879 of the 47,244 total vehicles. Sport Utility Vehicles were the second most frequent with 11,010 units. Commercial vehicles were also present, including 1,170 semi-tractors and 569 single-unit trucks.
Vehicle Type
"Other" combines 20 smaller categories (2,097 records): Single Unit Truck (569), Pedestrian/Skater (287), Motorcycle 2 Wheeled (286), Bus (16+ Passengers) (275), Other Vehicle (210), Van (9-15 Seats) (146), Bicycle (117), Heavy Equipment (76), Farm Equipment (47), Motorhome (18), All Terrain Vehicle (ATV/UTV) (12), Golf Cart (12), Animal with Rider or Animal Drawn Vehicle (11), Moped or Motorized Bicycle (9), Motorcycle 3 Wheeled (7), Limo (Livery Vehicle) (5), Autocycle (4), Wheelchair (Any type) (3), Train (2), Other Non-Motorist (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records
Person Type
Of the 59,654 individuals involved in crashes, the majority were drivers, accounting for 44,476 people. Passengers made up the next largest group with 14,885 individuals. The data also recorded the involvement of 293 pedestrians in collisions.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records
Person Injury Severity
Among the 59,654 people involved in crashes, 9,466 sustained some level of injury, representing 15.9% of all individuals. A total of 119 individuals suffered fatal injuries, which is 0.2% of all persons involved. The largest group, 48,208 people, reported no injuries.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records
Occupant Safety Equipment
The data shows that 46,909 vehicle occupants used both a shoulder and lap belt. However, 3,046 individuals were recorded as using no safety equipment at the time of their crash. Proper use of child restraints was also noted, with 1,162 in forward-facing systems and 538 in rear-facing systems.
Occupant Safety Equipment
"Other" combines 5 smaller categories (466 records): Lap Belt Only Used (294), Helmet Used (161), Lighting - Pedestrian / Bicycle Only (6), Protective Pads Used (Elbow; knees; etc.) (3), Reflective Clothing (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events
Vehicles Per Crash
The most common incident type involved two vehicles, accounting for 17,259 crashes. Single-vehicle crashes were the next most frequent, with 7,786 incidents, representing 29.3% of the total. Crashes involving three or more vehicles were less common, with 1,308 incidents involving three vehicles and 184 involving four.
Vehicles Per Crash
"Other" combines 1 smaller categories (1 records): 8 (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · 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: 2021-10-01 through 2021-10-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-10-01 through 2021-10-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 26,589
- Total persons involved: 59,654
- Total vehicles involved: 47,244
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: October 2021." Published July 5, 2026. Reporting period: 2021-10-01 to 2021-10-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/october-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2021-10-01 – 2021-10-31
Generated: July 5, 2026 · All rights reserved