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
2,916 CRASHES IN
OHIO, OH
2021
In 2021, Medina County recorded 2,916 traffic crashes, resulting in 15 fatalities and 973 injuries. A notable finding from the data is that a significant portion of these incidents, 34.8% (1,016 crashes), were single-vehicle collisions that did not involve another vehicle in transport.
2,916
Total Crash Events
15
Persons Killed
973
Persons Injured
6.9%
Hit-and-Run Rate
Note: "Persons Killed" (15) counts individual fatalities across all crash events. "Fatal" in the severity table below (14) 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
202
Hit-and-Run Crashes — 2021
In 2021, there were 202 crashes classified as hit-and-run incidents, accounting for 6.9% of all crashes in Medina County. This determination is based on the initial report filed by the responding law enforcement officer at the scene.
Vulnerable Road User Casualties
Motorists accounted for the largest group of casualties, with 12 fatalities and 962 injuries reported in 2021. Crashes also resulted in 3 pedestrian fatalities and 11 pedestrian injuries. There were no cyclist fatalities or injuries recorded in the data for this period.
3
Pedestrians Killed
12
Motorists Killed
11
Pedestrians Injured
962
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 Medina County peaked on Fridays, with 460 incidents recorded for the year. The single busiest hour for crashes was the 4 p.m. hour, with 255 events, part of a broader afternoon peak between 2 p.m. and 5 p.m. A majority of crashes, 1,978 out of 2,916, 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 majority of crashes in Medina County, 75.7% (2,207 incidents), resulted in no injuries. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 23.8% of the total. There were 14 distinct fatal crashes, which resulted in a total of 15 fatalities.
Severity is per crash event (most severe injury). 14 fatal crash events resulted in 15 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 vast majority of crashes occurred in ideal conditions, with 78.3% on dry roads (2,283 crashes) and 67.8% during daylight hours (1,978 crashes). Clear weather was reported for 1,631 incidents. Crashes in adverse conditions included 246 in rain and 172 in snow, while 467 crashes occurred on wet road surfaces.
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
An analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 990 individuals. The most common vehicle makes involved in crashes were Ford (775 vehicles), Chevrolet (734 vehicles), and Honda (407 vehicles).
Top Vehicle Makes (5,096 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
181 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,703 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 initial harmful event for most crashes, 2,404 incidents, occurred on the primary roadway. A notable portion, 441 crashes (15.1%), were run-off-road events, with the first impact happening on the roadside (279), shoulder (131), or in the median (31).
Crash Location (First Harmful Event)
"Other" combines 3 smaller categories (5 records): On Gore (2), Other/Unknown (2), Crossover (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The most common traffic control scenario for crashes was the absence of any control device, which was noted in 3,315 instances for vehicles involved. Crashes at signalized intersections accounted for 1,127 instances, while 564 occurred at locations with a stop sign.
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 leading contributing factor cited for drivers was "Following too Close / ACDA," accounting for 764 instances. This was followed by "Failure to Yield" with 491 instances and "Drove off Road" with 323 instances. Other significant factors included improper lane changes (139) and improper backing (114).
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (362 total) not shown: Left of Center, Ran Red Light, Improper Passing, Not Discernible, Swerving to Avoid, Load shifting/Falling/Spilling, Operating Defective Equipment, Improper Start From a Parked Position, Vision Obstruction, Improper Crossing, Wrong Way, Stopped or Parked Illegally, 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 281 crashes involved commercial trucks, representing 9.6% of all crashes in the county. Of these, 170 involved a semi-tractor trailer, while the remaining 111 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users included 14 incidents with pedestrians and 7 with bicyclists, for a combined total of 21 vulnerable user crashes. Additionally, there were 46 crashes involving motorcyclists during this period.
Animal-Involved Crashes
There were 312 crashes involving animals, which constitutes 10.7% of all reported incidents. The vast majority of these, 299 crashes, were collisions with deer. An additional 13 crashes involved other, unspecified animals.
Impairment (Alcohol / Drugs)
A total of 161 crashes, or 5.5% of all crashes, were noted as involving driver impairment. Among these, alcohol was a factor in 120 incidents, drugs were a factor in 22, and a combination of alcohol and drugs was present in 19.
Driver Condition
While most drivers were listed as "Apparently Normal," 206 drivers were recorded with a specific condition affecting their ability to drive. The most common was "Under the Influence of Medications / Drugs / Alcohol" with 136 drivers, followed by 25 drivers who reportedly fell asleep, fainted, or were fatigued.
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 4,975 drivers involved in crashes, 252 were noted as being distracted. The leading specified distractions were "Other distraction inside the vehicle" (88 drivers) and "Other distraction outside the vehicle" (70 drivers). Electronic device use was explicitly cited for 74 drivers, including 25 who were manually operating a 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
Most crashes (2,053) occurred on straight, level sections of road. However, 211 crashes (7.2% of the total) took place on curves, and 722 crashes (24.8%) occurred on a grade, indicating areas with changes in elevation.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Top Cities
Geographically, crashes were most concentrated in the City of Medina, which saw 695 incidents, representing 23.8% of the county's total. The cities of Wadsworth and Brunswick followed, with 443 and 290 crashes, respectively. Montville township had the fourth-highest volume with 222 crashes.
Top Cities
Showing top 9 of 25 reported. 16 additional (585 total) not shown: Harrisville, Liverpool, Hinckley, York, Lafayette, Chatham, Litchfield, Spencer, Homer, Lodi, Seville, Rittman, Westfield Center, Valley, Gloria Glens Park, Chippewa-On-The-Lake.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
An analysis of vehicle actions prior to impact shows that a majority, 58.7% (2,989 vehicles), were moving straight ahead. The next most frequent pre-crash action was "Slowing or Stopped In Traffic," which was the case for 859 vehicles (16.9%). Making a left turn was the third most common action, noted for 428 vehicles.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (160 total) not shown: Leaving Traffic Lane, Entering Traffic Lane, Other/Unknown, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Other Non-Motorist, Entering or Crossing Specified Location.
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 crash type was "Not Collision Between Two Vehicles in Transport," which accounted for 1,016 incidents or 34.8% of the total; these are typically single-vehicle collisions. The most common type of multi-vehicle crash was a rear-end collision, with 760 incidents, making up 26.1% of all crashes.
Manner of Collision
"Other" combines 2 smaller categories (44 records): Head-on (37), Rear-to-rear (7).
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, accounting for 2,181 of the 5,096 total vehicles (42.8%). Sport Utility Vehicles were the second most common, with 1,506 units involved. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 267 instances.
Vehicle Type
"Other" combines 13 smaller categories (167 records): Motorcycle 2 Wheeled (46), Unknown or Hit/Skip (25), Bus (16+ Passengers) (20), Other Vehicle (20), Pedestrian/Skater (14), Van (9-15 Seats) (11), Bicycle (7), Heavy Equipment (6), Farm Equipment (6), Animal with Rider or Animal Drawn Vehicle (4), Moped or Motorized Bicycle (3), All Terrain Vehicle (ATV/UTV) (3), Motorcycle 3 Wheeled (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 6,820 individuals involved in crashes, the vast majority were drivers, accounting for 4,975 people (73.0%). Vehicle occupants (passengers) made up the next largest group with 1,827 individuals (26.8%). Pedestrians were involved in 18 instances.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among the 6,820 people involved in crashes, 15 sustained fatal injuries. A total of 973 people, or 14.3% of all individuals, suffered some level of injury, ranging from possible to serious. The largest group, 5,764 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
Of the individuals for whom safety equipment use was recorded, 5,766 were using a shoulder and lap belt. However, 407 individuals were documented as using no safety equipment at the time of their crash. An additional 30 individuals were noted as using a helmet, typically motorcyclists.
Occupant Safety Equipment
"Other" combines 3 smaller categories (64 records): Lap Belt Only Used (33), Helmet Used (30), Lighting - Pedestrian / Bicycle Only (1).
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 majority of incidents, 1,865 crashes (64.0%), involved two vehicles. Single-vehicle crashes were also common, accounting for 908 incidents or 31.1% of the total. Crashes involving three or more vehicles were less frequent, making up 4.9% of all events.
Vehicles Per Crash
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: July 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 2,916
- Total persons involved: 6,820
- Total vehicles involved: 5,096
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 July 6, 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: July 6, 2026 · All rights reserved