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ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · 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/2021-annual-report
Yearly Traffic Safety Analysis
13,939 CRASHES IN
OHIO, OH
2021
In 2021, Summit County recorded 13,939 traffic crashes, resulting in 49 fatalities and 4,397 injuries. A notable finding from the data is that 21% of all crashes, totaling 2,925 incidents, were classified as hit-and-runs.
13,939
Total Crash Events
49
Persons Killed
4,397
Persons Injured
21.0%
Hit-and-Run Rate
Note: "Persons Killed" (49) counts individual fatalities across all crash events. "Fatal" in the severity table below (43) 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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
2,925
Hit-and-Run Crashes — 2021
In Summit County during 2021, 2,925 crashes were classified as hit-and-runs, accounting for 21% of all reported incidents. This determination is based on the initial assessment made by the responding law enforcement officer at the scene of the crash.
Vulnerable Road User Casualties
In 2021, motorists accounted for the vast majority of traffic casualties, with 45 fatalities and 4,297 injuries. Among vulnerable road users, 4 pedestrians were killed and 100 were injured in crashes. No cyclist fatalities or injuries were recorded in this dataset for the period.
4
Pedestrians Killed
45
Motorists Killed
100
Pedestrians Injured
4,297
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences in Summit County peaked on Fridays, with 2,208 incidents, and during the 5 p.m. hour, which saw 1,099 crashes. The data indicates a concentration of crashes during weekday afternoon commute times. Overall, 9,322 crashes, or approximately 67% of the total, occurred during daylight hours.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes in 2021, 77.8% (10,840 incidents), resulted in no injuries. Injury-related crashes, including serious, minor, and possible injuries, accounted for 21.9% of the total. There were 43 fatal crashes recorded, which resulted in a total of 49 fatalities, indicating some crashes involved more than one death.
Severity is per crash event (most severe injury). 43 fatal crash events resulted in 49 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes occurred in ideal driving conditions, with 76.3% (10,633) on dry roads, 66.9% (9,322) in daylight, and 57.2% (7,972) in clear weather. Adverse conditions were also present in a significant number of incidents, including 2,593 crashes on wet roads and 1,426 during rain. Crashes in darkness occurred in 3,698 instances, split between lighted and unlighted roadways.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 5,075 individuals. Among the 25,970 vehicles involved, the most frequent makes were Ford, with 3,712 vehicles, and Chevrolet, with 3,418 vehicles. Honda (2,046) and Toyota (1,947) were the next most common makes recorded in crash reports.
Top Vehicle Makes (25,970 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
2,826 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (29,909 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The first harmful event in most crashes, 12,264 incidents, occurred on the roadway itself. A notable portion, totaling 1,307 crashes (9.4%), involved a run-off-road event, with the first impact occurring on the roadside, shoulder, median, or outside the trafficway. This includes 517 crashes on the roadside and 469 on the shoulder.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (147 records): Driveway/Alley access (61), Other/Unknown (57), On Gore (16), Toll Booth (5), Railway grade crossing (4), Shared-use paths or trails (2), Crossover (1), Bike Lane (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls for units involved in crashes indicates that the majority, 62.9% (16,272 units), were at locations with no traffic control device present. Signalized intersections were the location for 26.8% (6,928 units) involved in crashes. Stop signs were the third most common traffic control type, present for 1,934 units involved in collisions.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Contributing Factor
The most frequently cited contributing factor for drivers was 'Following too Close / ACDA,' attributed in 3,683 instances. 'Failure to Yield' was the second most common factor, noted in 1,646 cases, followed by 'Improper Lane Change' (939) and 'Drove off Road' (842). These factors represent specific driver actions identified in the crash reports.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (1,761 total) not shown: Ran Stop Sign, Unsafe Speed, Left of Center, Improper Passing, Swerving to Avoid, Load shifting/Falling/Spilling, Operating Defective Equipment, Improper Start From a Parked Position, Improper Crossing, Stopped or Parked Illegally, Wrong Way, Vision Obstruction, Opening Door into Roadway, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 933 crashes involved a commercial truck, representing 6.7% of all crashes in Summit County. These incidents were nearly evenly split between semi-tractor trailers, involved in 459 crashes, and other types of commercial vehicles, which were involved in 474 crashes.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users and motorcyclists included 172 incidents with motorcyclists, 108 with pedestrians, and 51 with bicyclists. Combined, there were 159 crashes involving pedestrians and bicyclists, which are typically associated with a higher risk of severe injury. These vulnerable user crashes constituted 1.1% of all reported incidents.
Animal-Involved Crashes
There were 496 crashes involving animals, accounting for 3.6% of all incidents in the county. The vast majority of these, 462 crashes, specifically involved collisions with deer. An additional 34 crashes were attributed to collisions with other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 447 crashes, representing 3.2% of the total. Alcohol was the most common form of impairment, cited in 357 incidents. Drug impairment was noted in 56 crashes, and a combination of alcohol and drugs was identified in 34 crashes.
Driver Condition
While most drivers were recorded as 'Apparently Normal,' several adverse conditions were noted. Being 'Under the Influence of Medications / Drugs / Alcohol' was recorded for 333 drivers. Emotional states such as anger or distress were cited for 115 drivers, while fatigue or falling asleep was a factor for 106 drivers.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Driver Distraction
Among the 24,627 drivers involved in crashes, specific distractions were identified in several hundred cases. The most common was 'Other distraction inside the vehicle,' noted for 263 drivers, followed by 'Other distraction outside the vehicle' for 168 drivers. Electronic device use was also a factor, with 51 drivers manually operating a device and 88 engaged in another activity with an electronic device.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Road Alignment
While the majority of crashes (9,243) occurred on straight, level road segments, a notable number happened on roads with more complex geometry. Crashes on curves accounted for 9.9% of the total (1,373 incidents), while crashes on grades (slopes) made up 28.8% of the total (4,020 incidents). The combination of a curve and a grade was present in 738 crashes.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Top Cities
The geographic distribution of crashes within Summit County is highly concentrated in its most populous city. Akron accounted for 6,523 crashes, representing 46.8% of the county's total for the year. The next highest volumes were seen in Cuyahoga Falls with 1,129 crashes, Green with 804, and Stow with 612 crashes.
Top Cities
Showing top 9 of 31 reported. 22 additional (2,858 total) not shown: Copley, Tallmadge, Hudson, Norton, Bath, Richfield, Fairlawn, Northfield Center, Boston Heights, New Franklin, Boston, Sagamore Hills, Munroe Falls, Silver Lake, Northfield, Mogadore, Peninsula, Lakemore, Reminderville, Clinton, Portage Lakes, Franklin.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
The most common pre-crash action for vehicles was 'Straight Ahead,' which was reported for 13,537 units, or 52.1% of all vehicles involved. The second most frequent action was 'Slowing or Stopped In Traffic,' noted for 4,372 vehicles (16.8%). 'Making Left Turn' was the third most common maneuver, reported for 2,122 vehicles prior to impact.
Pre-Crash Driver Action
Showing top 9 of 20 reported. 11 additional (995 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Other Non-Motorist, Making U-Turn, Entering or Crossing Specified Location, Standing, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most frequent type of collision was a single-vehicle crash, classified as 'Not Collision Between Two Vehicles in Transport,' accounting for 3,815 incidents or 27.4% of the total. Rear-end collisions were the most common multi-vehicle crash type, with 3,756 incidents (26.9%). Angle collisions were also prevalent, occurring in 3,069 crashes (22%).
Manner of Collision
"Other" combines 2 smaller categories (276 records): Sideswipe; opposite direction (234), Rear-to-rear (42).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, with 12,346 units recorded. Sport Utility Vehicles (SUVs) were the second most frequent with 6,316 units, followed by pickup trucks with 2,362 units. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 925 instances.
Vehicle Type
"Other" combines 16 smaller categories (1,007 records): Cargo Van (346), Motorcycle 2 Wheeled (176), Pedestrian/Skater (117), Other Vehicle (105), Bus (16+ Passengers) (93), Bicycle (51), Heavy Equipment (50), Van (9-15 Seats) (40), All Terrain Vehicle (ATV/UTV) (10), Moped or Motorized Bicycle (7), Motorhome (6), Motorcycle 3 Wheeled (2), Limo (Livery Vehicle) (1), Farm Equipment (1), Autocycle (1), Wheelchair (Any type) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 32,409 individuals involved in crashes, the majority were drivers, accounting for 24,627 people (76.0%). Vehicle occupants (passengers) made up the next largest group with 7,649 individuals (23.6%). Pedestrians were involved in 133 instances, representing 0.4% of all persons.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Examining the outcomes for all 32,409 people involved in crashes, 49 individuals sustained fatal injuries (0.15%). A total of 4,397 people, or 13.6% of all participants, suffered some level of injury, ranging from possible to serious. The majority of individuals, 26,178 people, were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Occupant Safety Equipment
Safety equipment usage was documented for most vehicle occupants, with 25,546 individuals reported as using a shoulder and lap belt. A total of 1,281 occupants, representing 4.0% of all persons involved, were recorded as using no safety equipment at the time of the crash. Child restraints, including forward-facing, rear-facing, and booster seats, were used by a combined 1,050 children.
Occupant Safety Equipment
"Other" combines 3 smaller categories (224 records): Shoulder Belt Only Used (132), Helmet Used (90), Lighting - Pedestrian / Bicycle Only (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The most common crash scenario involved two vehicles, which occurred in 10,269 incidents. Single-vehicle crashes were the next most frequent, with 2,870 incidents, accounting for 20.6% of the total. Crashes involving three or more vehicles occurred 800 times, with one incident involving as many as 10 vehicles.
Vehicles Per Crash
"Other" combines 2 smaller categories (2 records): 8 (1), 10 (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · 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: 2021-01-01 through 2021-12-31
- Report generated: August 22, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 13,939
- Total persons involved: 32,409
- Total vehicles involved: 25,970
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: 2021." Published August 22, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2021-annual-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: 2021-01-01 – 2021-12-31
Generated: August 22, 2026 · All rights reserved
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