ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · AUGUST 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/august-2021-report
Monthly Traffic Safety Analysis
22,766 CRASHES IN
OHIO, OH
AUGUST 2021
In August 2021, Ohio recorded 22,766 traffic crashes, resulting in 132 fatalities and 9,454 injuries. A significant portion of these incidents, 29.6%, were single-vehicle crashes categorized as 'Not Collision Between Two Vehicles in Transport'. Among multi-vehicle collisions, rear-end crashes were the most common type, accounting for 26.7% of all incidents.
22,766
Total Crash Events
132
Persons Killed
9,454
Persons Injured
18.9%
Hit-and-Run Rate
Note: "Persons Killed" (132) counts individual fatalities across all crash events. "Fatal" in the severity table below (122) 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 · 2021-08-01 to 2021-08-31 · Aggregate counts from crash, person, and vehicle records
4,308
Hit-and-Run Crashes — August 2021
Based on the initial determination of responding officers, 4,308 crashes in August 2021 were classified as hit-and-runs. This represents 18.9% of all reported incidents during the period.
Vulnerable Road User Casualties
Motor vehicle occupants accounted for the vast majority of casualties, with 120 motorists killed and 9,255 injured. Among vulnerable road users, pedestrians were the most impacted group, with 12 individuals killed and 199 injured. There were no cyclist fatalities or injuries reported in the key performance indicators for this period.
12
Pedestrians Killed
120
Motorists Killed
199
Pedestrians Injured
9,255
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences peaked on Tuesdays with 3,849 incidents, and the most frequent time for crashes was the 4 p.m. hour, which saw 1,979 events. The data indicates a strong concentration of crashes during daytime and evening commute hours, with incidents rising from the morning and peaking in the late afternoon between 3 p.m. and 5 p.m.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 70.8% (16,122 incidents), resulted in no injuries. Injury-related crashes accounted for 28.7% of the total, while fatal crashes made up 0.5%. The 122 fatal crashes resulted in a total of 132 fatalities, indicating some incidents involved multiple deaths.
Severity is per crash event (most severe injury). 122 fatal crash events resulted in 132 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Most severe injury per crash record
Road & Environmental Conditions
The vast majority of crashes occurred in ideal driving conditions, with 75.7% of incidents happening during daylight hours, 69.1% in clear weather, and 84.9% on dry road surfaces. Crashes in adverse conditions were less frequent, with 2,132 incidents reported during rain and 3,253 on wet roads.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 8,373 individuals. Among the 41,995 vehicles involved, the most frequent makes were Chevrolet (6,336), Ford (5,978), and Honda (3,736). Passenger Cars were the most common vehicle type, accounting for 21,053 of the vehicles.
Top Vehicle Makes (41,995 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
3,978 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (49,858 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The first harmful event in most crashes, 19,029 incidents, occurred on the primary roadway. A notable portion of crashes, totaling 3,229 incidents, involved a vehicle leaving the travel lanes. These run-off-road events included 1,819 crashes on the roadside, 759 on the shoulder, and 500 outside the designated trafficway.
Crash Location (First Harmful Event)
"Other" combines 7 smaller categories (212 records): Driveway/Alley access (96), On ramp (75), Toll Booth (19), On Gore (10), Railway grade crossing (5), Shared-use paths or trails (5), Crossover (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Traffic Control Device
The majority of vehicles involved in crashes, 26,833 units, were at locations with no traffic control devices present. Crashes at locations with traffic signals involved 11,244 vehicles. Incidents at intersections controlled by stop signs involved 2,999 vehicles.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
Driver Contributing Factor
The most frequently cited contributing factor for vehicles in crashes was 'Following too Close / ACDA,' attributed to 5,673 vehicles. 'Failure to Yield' was the second most common factor, noted for 3,421 vehicles. Other significant factors included 'Drove off Road' (2,010 vehicles) and 'Improper Lane Change' (1,370 vehicles).
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (3,239 total) not shown: Improper Turn, Left of Center, Ran Stop Sign, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Stopped or Parked Illegally, Vision Obstruction, Opening Door into Roadway, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 1,814 commercial trucks were involved in crashes during this period, representing 4.3% of all vehicles in collisions. Of these, 978 were identified as semi-tractor trailers, while the remaining 836 were classified as other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involved 367 vulnerable road users, comprising 222 pedestrians and 145 bicyclists, which together accounted for 1.6% of all crash incidents. Additionally, 560 motorcyclists were involved in crashes during the same period.
Animal-Involved Crashes
There were 784 crashes involving animals, making up 3.4% of all incidents. The vast majority of these, 700 crashes, were collisions with deer. An additional 84 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 1,139 crashes, representing 5.0% of the total. Among these, alcohol was suspected in 761 incidents, drugs in 244 incidents, and a combination of both in 134 incidents. These figures represent a minimum, as impairment can be under-reported.
Driver Condition
While most drivers were recorded as 'Apparently Normal,' several adverse conditions were noted for a total of 1,596 drivers. A total of 915 drivers were reported as being under the influence of medications, drugs, or alcohol. Additionally, 268 drivers were noted as having fallen asleep or being fatigued, and 158 had a physical impairment.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Driver Distraction
Distraction was identified as a factor for 1,527 drivers, or 3.9% of all drivers involved. The most common issues were 'Other distraction inside the vehicle' (634 drivers) and 'Other distraction outside the vehicle' (430 drivers). Electronic device use was also a factor, with 158 drivers manually operating a device like a phone.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Road Alignment
While most crashes (17,253) occurred on straight, level roads, a significant number happened on more complex alignments. Crashes on curves accounted for 9.7% of all incidents (2,207 crashes). Roadways with a grade were the site of 18.8% of crashes, totaling 4,283 incidents.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Top Cities
The highest concentration of crashes occurred in Ohio's major urban centers. Cincinnati recorded the most incidents with 1,461, followed by Cleveland with 1,311, and Columbus with 1,232. Together, these three cities accounted for 17.6% of all crashes statewide in August 2021.
Top Cities
Showing top 9 of 50 reported. 41 additional (4,603 total) not shown: Jackson (Township Of), Green (Township Of), Springfield, Washington (Township Of), Liberty (Township Of), Perry (Township Of), Colerain (Township Of), Hamilton, Miami (Township Of), Mansfield, West Chester (Township Of) Aka Union Township, Harrison (Township Of), Youngstown, Franklin (Township Of), Madison (Township Of), Jefferson (Township Of), Elyria, Lancaster, Middletown, Lorain, Mentor, Cuyahoga Falls, Fairfield, Euclid, Boardman (Township Of), Concord (Township Of), Findlay, Lima, Zanesville, Monroe (Township Of), Sharonville, Mason, Newark, Sandusky, Richland (Township Of), Marion, Warren, Deerfield (Township Of), Cleveland Heights, Parma, Garfield Heights.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Pre-Crash Driver Action
The most common pre-crash action for vehicles was proceeding 'Straight Ahead,' which described 21,867 vehicles (52.1%). The second most frequent action was 'Slowing or Stopped In Traffic,' involving 6,599 vehicles (15.7%). Making a left turn was the third most common action, noted for 3,431 vehicles involved in collisions.
Pre-Crash Driver Action
Showing top 9 of 21 reported. 12 additional (1,722 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 · 2021-08-01 to 2021-08-31 · Vehicle unit records
Manner of Collision
The most frequent type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 6,737 crashes or 29.6% of the total. Among multi-vehicle incidents, rear-end collisions were the most common, representing 26.7% of all crashes (6,077 incidents). Angle collisions were also prevalent, making up 23.8% of the total.
Manner of Collision
"Other" combines 2 smaller categories (543 records): Head-on (477), Rear-to-rear (66).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 21,053 units or 50.1% of all vehicles. Sport Utility Vehicles (SUVs) and pickup trucks were also frequently involved, representing 22.5% and 11.0% of vehicles, respectively. Commercial vehicles, including semi-tractors and single-unit trucks, comprised approximately 3.8% of the vehicles in collisions.
Vehicle Type
"Other" combines 19 smaller categories (2,309 records): Motorcycle 2 Wheeled (566), Single Unit Truck (563), Other Vehicle (230), Pedestrian/Skater (223), Bus (16+ Passengers) (199), Bicycle (150), Van (9-15 Seats) (130), Heavy Equipment (79), All Terrain Vehicle (ATV/UTV) (39), Motorhome (32), Farm Equipment (28), Moped or Motorized Bicycle (19), Motorcycle 3 Wheeled (19), Animal with Rider or Animal Drawn Vehicle (14), Golf Cart (9), Autocycle (3), Wheelchair (Any type) (3), Limo (Livery Vehicle) (2), Train (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
Person Type
Of the 52,894 individuals involved in crashes, the majority (74.1%) were drivers, totaling 39,170 people. Passengers accounted for 25.5% of persons involved, or 13,489 individuals. Pedestrians made up a smaller but significant group, with 235 individuals involved in crashes.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Person Injury Severity
Examining the outcomes for all 52,894 people involved, 132 individuals sustained fatal injuries, representing 0.25% of the total. A combined 9,454 people, or 17.9%, suffered some level of injury, ranging from serious to possible. The majority of individuals, 41,662 people (78.8%), were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants with a reported safety equipment status, 2,837 individuals were recorded as using no restraints, accounting for 6.1% of this group. The vast majority, 41,010 people, were reported as using both a shoulder and lap belt. Additionally, 1,877 children were secured in a child restraint system or booster seat.
Occupant Safety Equipment
"Other" combines 4 smaller categories (541 records): Helmet Used (267), Lap Belt Only Used (258), Lighting - Pedestrian / Bicycle Only (13), Reflective Clothing (3).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Vehicles Per Crash
The most common crash scenario involved two vehicles, which accounted for 16,067 incidents or 70.6% of the total. Single-vehicle crashes were the next most frequent type, with 5,246 incidents (23.0%). Crashes involving three or more vehicles were less common, representing 6.4% of all incidents.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · 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: 2021-08-01 through 2021-08-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-08-01 through 2021-08-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 22,766
- Total persons involved: 52,894
- Total vehicles involved: 41,995
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: August 2021." Published July 5, 2026. Reporting period: 2021-08-01 to 2021-08-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/august-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: 2021-08-01 – 2021-08-31
Generated: July 5, 2026 · All rights reserved