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
855 CRASHES IN
OHIO, OH
2021
In 2021, Preble County recorded 855 total traffic crashes, resulting in 3 fatalities and 304 injuries. A notable finding from the data is that over half of all incidents, 51.5% or 440 crashes, were not collisions between two moving vehicles, frequently indicating single-vehicle events such as running off the road.
855
Total Crash Events
3
Persons Killed
304
Persons Injured
8.5%
Hit-and-Run Rate
Note: "Persons Killed" (3) 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
73
Hit-and-Run Crashes — 2021
There were 73 crashes classified as hit-and-run incidents, accounting for 8.5% of all crashes in this period. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
Motorists accounted for all 3 fatalities and the vast majority of injuries, with 300 motorists injured in 2021. No cyclists were killed or injured. Four pedestrians sustained injuries, but there were no pedestrian fatalities recorded during this period.
0
Pedestrians Killed
3
Motorists Killed
4
Pedestrians Injured
300
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 frequency peaked midweek, with Wednesday recording the highest number of incidents at 138. The single busiest hour for crashes was the 5 p.m. evening commute, which saw 70 collisions. Overall, 58.1% of crashes (497) occurred during daylight hours, while 35.4% (303) took place in dark conditions.
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, 75% or 641 incidents, resulted in no injuries and were classified as property-damage-only. Crashes involving some level of injury accounted for approximately 24.7% of the total, or 211 incidents. There were 3 fatal crashes recorded, which resulted in a total of 3 fatalities.
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 significant majority of crashes happened in ideal driving conditions. Specifically, 74.1% of crashes (634) occurred on dry road surfaces, 66.2% (566) in clear weather, and 58.1% (497) during daylight hours. Crashes in adverse conditions included 160 on wet roads and 98 during rain.
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 1,779 people involved in crashes, the 26-34 age group was the most represented with 275 individuals, followed closely by the 16-20 age group with 259 individuals. Of the 1,344 vehicles involved, the most frequent makes were Chevrolet (265), Ford (211), Honda (85), and Toyota (84).
Top Vehicle Makes (1,344 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
61 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,732 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 598 crashes, or 69.9% of the total, occurred on the primary roadway. A notable portion of incidents were run-off-road events, with 170 crashes (19.9%) occurring on the roadside, 43 (5.0%) on the shoulder, and 9 (1.1%) in the median, for a combined total of 26.0% of crashes originating off the travel lanes.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (3 records): Other/Unknown (2), Railway grade crossing (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 the 1,344 vehicles involved in crashes shows that most incidents occurred at locations without traffic controls, accounting for 1,065 vehicles (79.2%). Vehicles involved in crashes at intersections with stop signs numbered 148 (11.0%), while 115 vehicles (8.6%) were involved in crashes at signalized locations.
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 contributing factors assigned to the 1,344 vehicle units, 'Drove off Road' was the most common, cited for 166 units. This was followed by 'Following too Close / ACDA' (Assured Clear Distance Ahead), which was a factor for 128 units, and 'Failure to Yield', cited for 95 units.
Driver Contributing Factor
Showing top 9 of 21 reported. 12 additional (115 total) not shown: Improper Turn, Ran Stop Sign, Not Discernible, Operating Defective Equipment, Improper Passing, Ran Red Light, Load shifting/Falling/Spilling, Vision Obstruction, Improper Crossing, Improper Start From a Parked Position, Wrong Way, 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
Commercial trucks were involved in 137 crashes, representing approximately 16.0% of all incidents. Of these, 105 involved a semi-tractor trailer and 32 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
A total of 16 crashes involved a vulnerable road user or motorcyclist. These included 11 motorcyclists, 4 pedestrians, and 1 bicyclist. Combined, crashes involving pedestrians and bicyclists, who are considered the most vulnerable road users, accounted for 5 incidents.
Animal-Involved Crashes
Crashes involving animals accounted for 127 incidents, or 14.9% of all crashes. The vast majority of these, 114 crashes, were strikes involving deer, while 13 involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 40 crashes, representing 4.7% of the total. Of these, alcohol was suspected in 25 incidents, drugs in 13, and a combination of alcohol and drugs in 2 incidents.
Driver Condition
Among the 1,272 drivers involved in crashes, 89 were noted as having a condition other than 'Apparently Normal'. The most common conditions were being 'Under the Influence of Medications / Drugs / Alcohol' (36 drivers) and 'Fell Asleep; Fainted; Fatigued' (33 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 1,272 drivers, a specific distraction was identified for 54 individuals, or 4.2% of all drivers. The most cited issues were 'Other distraction inside the vehicle' (21 drivers) and 'Other distraction outside the vehicle' (15 drivers). Manually operating an electronic communication device was noted for 7 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
While most crashes occurred on straight and level roads, a notable number happened on more complex road geometries. Crashes on a grade (uphill or downhill) accounted for 23.0% of all incidents (197 crashes). Additionally, 11.9% of crashes (102) occurred on curves.
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 was concentrated in a few key areas. The city of Eaton recorded the highest number of incidents with 176 crashes, representing 20.6% of the county's total. The townships of Jefferson (94 crashes) and Monroe (83 crashes) were the next most frequent locations.
Top Cities
Showing top 9 of 23 reported. 14 additional (162 total) not shown: Somers, Gasper, Jackson, West Alexandria, Lewisburg, Dixon, New Paris, West Elkton, Preble, West Manchester, College Corner, Eldorado, Verona, Camden.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Analysis of the 1,344 vehicles involved shows that the majority were moving 'Straight Ahead' (910 vehicles, or 67.7%) just prior to the collision. The next most common pre-crash actions were 'Slowing or Stopped In Traffic' (86 vehicles) and 'Negotiating a Curve' or 'Making Left Turn' (75 vehicles each).
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (35 total) not shown: Other/Unknown, Leaving Traffic Lane, Entering Traffic Lane, Driverless, Walking; Running; Jogging; Playing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Single-vehicle incidents were the dominant crash type, with 440 crashes (51.5%) classified as 'Not Collision Between Two Vehicles in Transport'. Among multi-vehicle crashes, angle collisions were the most frequent, accounting for 151 incidents or 17.7% of the total, followed by rear-end collisions at 139 incidents (16.3%).
Manner of Collision
"Other" combines 2 smaller categories (14 records): Other/Unknown (12), Rear-to-rear (2).
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 565 of the 1,344 vehicles (42.0%). Sport Utility Vehicles (282) and Pick-up trucks (235) were also frequently involved. Commercial vehicles, including semi-tractors and single-unit trucks, represented a significant portion with a combined 155 units.
Vehicle Type
"Other" combines 12 smaller categories (49 records): Motorcycle 2 Wheeled (11), Unknown or Hit/Skip (11), Heavy Equipment (5), Other Vehicle (4), Bus (16+ Passengers) (4), Pedestrian/Skater (4), Van (9-15 Seats) (3), Farm Equipment (2), All Terrain Vehicle (ATV/UTV) (2), Motorhome (1), Bicycle (1), Animal with Rider or Animal Drawn Vehicle (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 1,779 individuals involved in crashes, the majority were drivers (1,272 people, or 71.5%). Vehicle occupants (passengers) accounted for 503 individuals (28.3%), while pedestrians made up a small fraction with 4 individuals (0.2%).
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 all 1,779 people involved in crashes, 1,455 (81.8%) sustained no injuries. A total of 304 people were injured, representing 17.1% of all individuals. Fatalities were rare, with 3 individuals, or 0.17% of those involved, sustaining fatal injuries.
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 significant majority of vehicle occupants, 1,377 people, were recorded as using a shoulder and lap belt. However, 181 individuals, representing 10.2% of those for whom restraint use was recorded, were noted as using no safety equipment at the time of the crash.
Occupant Safety Equipment
"Other" combines 2 smaller categories (14 records): Shoulder Belt Only Used (10), Helmet Used (4).
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
Crashes were nearly evenly split between single-vehicle and two-vehicle incidents. Single-vehicle crashes accounted for 46.9% of the total (401 crashes), while two-vehicle crashes made up 49.7% (425 crashes). There were 29 crashes involving three or more vehicles, including one incident that involved seven vehicles.
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: 855
- Total persons involved: 1,779
- Total vehicles involved: 1,344
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