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
1,034 CRASHES IN
OHIO, OH
2021
In 2021, Fulton County recorded 1,034 traffic crashes, resulting in 4 fatalities and 405 injuries. These incidents involved a total of 2,049 people and 1,553 vehicles. A notable finding from the data is that the vast majority of crashes, nearly 75%, resulted in no injuries to any of the involved parties.
1,034
Total Crash Events
4
Persons Killed
405
Persons Injured
10.3%
Hit-and-Run Rate
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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
107
Hit-and-Run Crashes — 2021
According to reports, 107 crashes in Fulton County involved a hit-and-run, representing 10.3% of all incidents in 2021. This classification is based on the initial determination made by the responding law enforcement officer at the scene. The total number of hit-and-run crashes reflects incidents where at least one driver unlawfully left the scene.
Vulnerable Road User Casualties
In 2021, all 4 traffic fatalities in Fulton County were motorists. Additionally, 401 motorists sustained injuries. Four pedestrians were injured in crashes, but there were no pedestrian fatalities. The data recorded no fatalities or injuries for cyclists during this period.
0
Pedestrians Killed
4
Motorists Killed
4
Pedestrians Injured
401
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 analysis by time reveals specific patterns throughout the week and day. Tuesdays saw the highest number of crashes with 178 incidents, making it the peak day of the week. The single busiest hour for crashes was between 4 p.m. and 5 p.m., which recorded 77 incidents. While crashes occurred throughout the 24-hour period, a slight majority of 562 crashes (54.3%) happened 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
Of the 1,034 total crashes, 773 (74.8%) were property-damage-only incidents with no reported injuries. The remaining 261 crashes involved at least one injury, with 36 classified as serious injury crashes and 135 as minor injury crashes. There were 3 separate crash events that resulted in fatalities, which collectively led to the deaths of 4 individuals.
Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 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 majority of crashes in 2021 occurred under ideal environmental conditions. Specifically, 688 crashes (66.5%) happened in clear weather, and 815 (78.8%) occurred on dry road surfaces. Crashes during daylight hours accounted for 562 incidents (54.3%). In contrast, 85 crashes were reported during rain, 37 during snow, and 394 took place in dark conditions.
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 the 2,049 people involved in crashes shows that the 26-34 age group was the most represented, with 318 individuals. The 16-20 and 35-44 age groups also had high involvement, with 267 and 277 people respectively. Among the 1,553 vehicles involved, the most frequent makes were Chevrolet with 315 vehicles, Ford with 234 vehicles, and Dodge with 132 vehicles.
Top Vehicle Makes (1,553 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
73 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,020 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)
Analysis of the crash location shows that the vast majority of incidents, 811 crashes (78.4%), had their first harmful event occur on the main roadway. However, a significant number of incidents were run-off-road events, with 126 crashes (12.2%) occurring on the roadside, 43 (4.2%) on the shoulder, and 39 (3.8%) outside the designated trafficway.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (3 records): Off ramp (2), On Gore (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The data indicates that the majority of crashes happened at locations without traffic controls. A total of 1,233 vehicles were involved in crashes at locations with 'No Control'. For comparison, 184 vehicles were in crashes near a stop sign, and 131 were at locations with a traffic signal.
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
Among driver actions cited as contributing factors, 'Following too Close / ACDA' was the most common, noted for 161 vehicles. 'Failure to Yield' was the second-leading factor with 140 instances, followed closely by 'Drove off Road' with 139 instances. 'Unsafe Speed' was also a significant factor, attributed to 60 vehicles involved in crashes.
Driver Contributing Factor
Showing top 9 of 19 reported. 10 additional (111 total) not shown: Not Discernible, Swerving to Avoid, Improper Lane Change, Improper Passing, Operating Defective Equipment, Ran Red Light, Load shifting/Falling/Spilling, Vision Obstruction, Improper Crossing, Improper Start From a Parked Position.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
Commercial trucks were involved in 138 crashes in 2021, accounting for 13.3% of all crashes in Fulton County. Of these, the majority involved semi-tractor-trailers, which were present in 114 incidents. The remaining 24 crashes involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
In 2021, there were 23 crashes involving vulnerable road users or motorcyclists. Motorcyclists were involved in 17 of these incidents. Crashes involving pedestrians occurred 4 times, while bicyclist-involved crashes occurred twice, for a combined total of 6 incidents involving vulnerable road users.
Animal-Involved Crashes
A significant portion of crashes in Fulton County involved animals, totaling 278 incidents or 26.9% of all crashes. The vast majority of these were strikes with deer, which accounted for 262 of the animal-related crashes. An additional 16 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 59 crashes, representing 5.7% of the total for the year. Alcohol was the most cited substance, involved in 42 incidents. Drugs were a factor in 13 crashes, and a combination of alcohol and drugs was noted in 4 crashes. These figures represent a baseline, as impairment can be under-reported.
Driver Condition
While most drivers were recorded as 'Apparently Normal', several non-normal driver conditions were noted. A total of 46 drivers were identified as being under the influence of medications, drugs, or alcohol. An additional 23 drivers were reported to have fallen asleep, fainted, or been fatigued at the time of their crash.
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 1,515 drivers involved in crashes, a specific distraction was identified for 68 of them. The most common identified distractions were non-specific, with 24 drivers distracted by something outside the vehicle and 23 by something inside. Manually operating an electronic communication device, such as texting, was noted for 11 drivers.
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 primarily straight and level for most crashes, accounting for 879 incidents (85.0%). However, 119 crashes (11.5%) occurred on a grade, whether straight or curved. A smaller but notable number of crashes, 63 in total (6.1%), occurred on curved sections of road.
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 Fulton County was concentrated in a few key areas. The city of Wauseon recorded the highest number of incidents with 130, representing 12.6% of the county's total. The township of German followed with 120 crashes (11.6%), and Clinton township had the third-highest volume with 96 crashes (9.3%).
Top Cities
Showing top 9 of 18 reported. 9 additional (277 total) not shown: Archbold, Chesterfield, Swanton, Amboy, Gorham, Royalton, Delta, Fayette, Pettisville.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Examining what vehicles were doing just before a collision reveals common patterns. The most frequent pre-crash action for the 1,553 vehicles involved was 'Straight Ahead,' with 1,030 instances. The second most common action was 'Slowing or Stopped In Traffic,' which was the case for 181 vehicles, often a precursor to rear-end collisions.
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (42 total) not shown: Entering Traffic Lane, Leaving Traffic Lane, Other/Unknown, Walking; Running; Jogging; Playing, Making U-Turn, 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 type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 590 crashes or 57.1% of the total. Among multi-vehicle crashes, angle collisions were the most common, with 182 incidents (17.6%). This was followed by rear-end collisions, which occurred 155 times (15.0%).
Manner of Collision
"Other" combines 2 smaller categories (9 records): Rear-to-rear (5), Other/Unknown (4).
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 546 of the 1,553 total vehicles. Sport Utility Vehicles were the second most frequent with 415 vehicles, followed by 295 pickup trucks. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 168 instances, making up 10.8% of the vehicles.
Vehicle Type
"Other" combines 13 smaller categories (53 records): Motorcycle 2 Wheeled (17), Unknown or Hit/Skip (8), Other Vehicle (7), Farm Equipment (5), Pedestrian/Skater (4), Van (9-15 Seats) (2), Bicycle (2), Bus (16+ Passengers) (2), Moped or Motorized Bicycle (2), Motorhome (1), Train (1), Heavy Equipment (1), All Terrain Vehicle (ATV/UTV) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
A total of 2,049 individuals were involved in traffic crashes in 2021. The majority of these individuals, 1,515 people or 73.9%, were drivers. Passengers, or occupants, made up the next largest group with 530 individuals (25.9%). A small number of involved persons, 4 in total, 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
Of the 2,049 people involved in crashes, 409 sustained some level of injury or were killed, representing 20.0% of all participants. This total includes 4 fatalities, 39 serious injuries, 202 minor injuries, and 164 possible injuries. The remaining 1,626 individuals 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
Restraint use was reported for most vehicle occupants, with 1,747 individuals using both a shoulder and lap belt. However, 106 people, or 5.2% of those with reported data, were recorded as using no safety equipment at all. An additional 74 individuals were using child restraint systems or booster seats.
Occupant Safety Equipment
"Other" combines 2 smaller categories (10 records): Helmet Used (7), Shoulder Belt Only Used (3).
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 data shows a near-even split between single-vehicle and two-vehicle crashes. Single-vehicle crashes were slightly more common, with 540 incidents, making up 52.2% of the total. Two-vehicle collisions accounted for another 472 incidents, or 45.6% of all crashes. Multi-vehicle crashes involving three or more vehicles were less frequent, with only 22 such 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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 1,034
- Total persons involved: 2,049
- Total vehicles involved: 1,553
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 5, 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 5, 2026 · All rights reserved