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
4,059 CRASHES IN
OHIO, OH
2021
In 2021, Trumbull County recorded 4,059 traffic crashes, resulting in 29 fatalities and 1,589 injuries. A significant portion of these incidents, 40.4%, were single-vehicle crashes classified as 'Not Collision Between Two Vehicles in Transport'. The data indicates that a majority of crashes occurred during daylight hours on dry roads.
4,059
Total Crash Events
29
Persons Killed
1,589
Persons Injured
11.0%
Hit-and-Run Rate
Note: "Persons Killed" (29) counts individual fatalities across all crash events. "Fatal" in the severity table below (27) 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
445
Hit-and-Run Crashes — 2021
Of the 4,059 total crashes in 2021, 445 were classified as hit-and-run incidents, representing 11% of all crashes. This determination is based on the responding officer's initial assessment at the scene. These incidents involve at least one party leaving the scene of the crash without providing required information.
Vulnerable Road User Casualties
In 2021, motorists accounted for the vast majority of traffic deaths and injuries in Trumbull County, with 26 motorists killed and 1,569 injured. Crashes also resulted in 3 pedestrian fatalities and 20 pedestrian injuries. According to the provided data, there were no cyclists killed or injured during this period.
3
Pedestrians Killed
26
Motorists Killed
20
Pedestrians Injured
1,569
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 patterns in Trumbull County show a distinct weekly and daily rhythm. The most frequent day for crashes was Friday, with 679 incidents, while the peak hour was 3 p.m., which saw 313 crashes. The afternoon commute, from 2 p.m. to 6 p.m., consistently showed the highest crash volumes, with daylight hours accounting for 2,545 of the total crashes.
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, 72.6% or 2,945 incidents, resulted in no injuries and were classified as property-damage-only. Injury-producing crashes, including serious, minor, and possible injuries, accounted for 1,087 incidents. There were 27 distinct fatal crashes, which resulted in a total of 29 fatalities, as a single crash can involve more than one death.
Severity is per crash event (most severe injury). 27 fatal crash events resulted in 29 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
A substantial majority of crashes occurred in ideal driving conditions. In 2021, 63% of crashes (2,545) happened in daylight, 76% (3,091) on dry roads, and 57% (2,311) in clear weather. Conversely, 405 crashes occurred during rain, 755 on wet road surfaces, and a combined 1,316 crashes took place in dark conditions, whether the roadway was lighted or not.
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
Among the 8,823 people involved in crashes, the 26-34 age group was the most represented with 1,375 individuals, followed by the 35-44 group with 1,166. An analysis of the 6,817 vehicles involved shows that specific makes were more frequently in crashes than others. The top three makes were Chevrolet with 1,660 vehicles, Ford with 965, and Dodge with 360.
Top Vehicle Makes (6,817 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
363 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (8,508 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 vast majority of initial harmful events occurred on the primary travel lanes, accounting for 3,295 crashes. However, a notable number of incidents were run-off-road events. A combined 568 crashes, or approximately 14% of the total, had their first harmful event occur off the main roadway on the roadside, shoulder, or in the median.
Crash Location (First Harmful Event)
"Other" combines 5 smaller categories (27 records): Other/Unknown (14), On ramp (9), Toll Booth (2), On Gore (1), Driveway/Alley access (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Most vehicles involved in crashes were at locations with no traffic control device present, accounting for 4,500 of the 6,817 vehicles in the dataset. Crashes at locations with a traffic signal involved 1,644 vehicles, while those at stop signs involved 524 vehicles. A small number of incidents occurred at locations with yield signs (44) or roundabouts (15).
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
Analysis of driver actions shows that 'Following too Close / ACDA' was the most cited contributing factor, attributed to 878 vehicles. The next most common factors were 'Failure to Yield,' cited for 630 vehicles, and 'Drove off Road,' noted for 610 vehicles. These three factors represent the primary driver errors leading to collisions in the dataset.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (528 total) not shown: Ran Red Light, Left of Center, Improper Passing, Ran Stop Sign, Swerving to Avoid, Improper Start From a Parked Position, Operating Defective Equipment, Improper Crossing, Vision Obstruction, Load shifting/Falling/Spilling, 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
Crashes involving commercial trucks represented a notable subset of total incidents. In 2021, there were 246 crashes involving commercial vehicles, accounting for 6.1% of all crashes. Of these, 164 involved a semi-tractor trailer, while the remaining 82 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
A total of 104 crashes involved motorcyclists, pedestrians, or bicyclists. Motorcyclists were the largest group, involved in 65 crashes. Combined, vulnerable road users, defined as pedestrians and bicyclists, were involved in 39 crashes, with 24 involving pedestrians and 15 involving bicyclists.
Animal-Involved Crashes
Crashes involving animals accounted for 439 incidents, representing 10.8% of all crashes in Trumbull County. The vast majority of these were strikes with deer, which were involved in 414 crashes. An additional 25 crashes involved other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 319 crashes, or 7.9% of the total. Alcohol was the most common form of impairment, cited in 232 incidents. Drug impairment was noted in 61 crashes, and a combination of alcohol and drugs was a factor in 26 crashes.
Driver Condition
While most drivers were recorded as 'Apparently Normal,' several hundred were noted to have a specific condition affecting their driving. A total of 257 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 56 drivers had a physical impairment, and 52 were reported to have fallen asleep, fainted, or been 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 drivers for whom a distraction was noted, the most common factor was 'Other distraction inside the vehicle,' with 133 instances. This was followed by 'Other distraction outside the vehicle' with 95 instances. Manually operating an electronic communication device like a phone was cited for 28 drivers, and another 26 were engaged in other activities 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
The geometry of the road was a factor in a significant number of crashes. Approximately 18.0% of crashes (733) occurred on a grade, either straight or curved. Additionally, 356 crashes, or 8.8% of the total, took place on a curve, highlighting the increased risk associated with non-level and non-straight road segments.
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 across Trumbull County is uneven, with a few municipalities accounting for a large share of incidents. The City of Warren saw the most crashes with 932, representing 23.0% of the county's total. The townships of Howland (463 crashes) and Liberty (320 crashes), along with the city of Niles (382 crashes), also recorded high volumes of traffic incidents.
Top Cities
Showing top 9 of 35 reported. 26 additional (1,073 total) not shown: Girard, Southington, Vienna, Braceville, Lordstown, Fowler, Cortland, Newton, Mesopotamia, Johnston, Bristol, Newton Falls, Farmington, Greene, Mecca, Hartford, Vernon, Gustavus, Kinsman, Mcdonald, Bloomfield, West Farmington, Champion Heights, Youngstown, Orangeville, Brookfield Center.
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 action for vehicles immediately prior to a crash was proceeding 'Straight Ahead,' which was the case for 3,961 of the 6,817 vehicles involved. The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' recorded for 976 vehicles. 'Making Left Turn' was the third most common action, noted for 593 vehicles.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (264 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Making U-Turn, Walking; Running; Jogging; Playing, Driverless, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Working.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Single-vehicle crashes were the most common type of incident, with 1,640 crashes (40.4%) classified as 'Not Collision Between Two Vehicles in Transport'. Among multi-vehicle crashes, angle collisions were the most frequent, accounting for 925 incidents (22.8%), closely followed by rear-end collisions with 909 incidents (22.4%).
Manner of Collision
"Other" combines 2 smaller categories (71 records): Sideswipe; opposite direction (62), Rear-to-rear (9).
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 3,460 of the 6,817 vehicles (50.7%). Sport Utility Vehicles were the second most frequent, with 1,641 vehicles (24.1%), followed by pickup trucks with 781 vehicles (11.4%). Commercial vehicles, including semi-tractors and other trucks, were involved in 367 crashes.
Vehicle Type
"Other" combines 13 smaller categories (279 records): Single Unit Truck (72), Motorcycle 2 Wheeled (67), Van (9-15 Seats) (37), Other Vehicle (27), Pedestrian/Skater (24), Bus (16+ Passengers) (16), Bicycle (15), All Terrain Vehicle (ATV/UTV) (7), Heavy Equipment (5), Moped or Motorized Bicycle (3), Animal with Rider or Animal Drawn Vehicle (3), Farm Equipment (2), 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 8,823 individuals involved in crashes, the vast majority were either drivers or vehicle occupants. Drivers constituted 74.6% of the total (6,581 people), while passengers (occupants) made up 25.1% (2,216 people). A small fraction, 26 individuals or 0.3%, were pedestrians.
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 8,823 people involved in crashes, 1,618 sustained some level of injury or were fatally wounded. This includes 29 fatalities (0.3% of all persons) and 1,589 individuals with injuries ranging from serious to possible (18.0% of all persons). The majority of individuals, 7,110 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
A large majority of vehicle occupants, 7,141 individuals, were recorded as using a shoulder and lap belt. However, 463 people, representing 5.2% of all crash participants, were documented as using no safety equipment at all. An additional 42 individuals used only a lap belt, and 84 used only a shoulder belt.
Occupant Safety Equipment
"Other" combines 2 smaller categories (71 records): Lap Belt Only Used (42), Helmet Used (29).
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 type of crash involved two vehicles, accounting for 2,449 incidents, or 60.3% of the total. Single-vehicle crashes were also very common, with 1,464 incidents making up 36.1% of all crashes. Multi-vehicle crashes involving three or more vehicles were less frequent, totaling 146 incidents.
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: 4,059
- Total persons involved: 8,823
- Total vehicles involved: 6,817
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