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
786 CRASHES IN
OHIO, OH
2021
In 2021, Highland County recorded 786 traffic crashes, which resulted in 10 fatalities and 343 injuries. A notable finding from the data is that nearly half of all incidents (47.7%) did not involve a collision between two moving vehicles, but were rather single-vehicle events such as running off the road or striking a fixed object.
786
Total Crash Events
10
Persons Killed
343
Persons Injured
7.1%
Hit-and-Run Rate
Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) 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
56
Hit-and-Run Crashes — 2021
There were 56 crashes classified as hit-and-run incidents, accounting for 7.1% of all crashes in this period. This determination is based on the initial report filed by the responding law enforcement officer at the scene of the crash.
Vulnerable Road User Casualties
Of the 10 total fatalities, 9 were motorists and 1 was a pedestrian. All 343 non-fatal injuries recorded were sustained by motorists. No bicyclists were reported as being killed or injured in traffic crashes during this period.
1
Pedestrians Killed
9
Motorists Killed
0
Pedestrians Injured
343
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
Crashes occurred most frequently on Fridays, with 133 incidents recorded. The single hour with the most crashes was the 4 p.m. hour, which saw 76 crashes, indicating a peak during the afternoon commute. Overall, 64.4% of all crashes 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
The majority of crashes, 548 incidents or 69.7%, resulted in no injuries and were classified as property-damage-only. Crashes involving injuries accounted for 29.1% of the total, with 33 serious injury, 133 minor injury, and 63 possible injury crashes. The 9 fatal crashes recorded during the year resulted in a total of 10 fatalities.
Severity is per crash event (most severe injury). 9 fatal crash events resulted in 10 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 67.4% happening in clear weather and 79.3% on dry road surfaces. Crashes during daylight hours accounted for 64.4% of the total. For comparison, 82 crashes occurred during rain, 133 on wet roads, and 226 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
Among the 1,632 people involved in crashes, the most represented age groups were 26-34 years old (229 people), 16-20 years old (224 people), and 35-44 years old (224 people). The top three vehicle makes involved in crashes were Chevrolet (298 vehicles), Ford (223 vehicles), and Dodge (90 vehicles).
Top Vehicle Makes (1,258 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
57 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,592 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)
While 528 crashes (67.2%) had their first harmful event on the roadway, a significant number occurred off the main travel lanes. In total, 253 crashes, or 32.2% of all incidents, were classified as run-off-road events, with the first harmful event taking place on the roadside or shoulder.
Crash Location (First Harmful Event)
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 1,258 vehicles involved in crashes shows that most incidents occurred at uncontrolled locations. Approximately 74.9% of vehicles were in crashes where no traffic control device was present. In contrast, 14.1% of vehicles were at locations with a traffic signal, and 9.9% were 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
Among driver-related actions contributing to crashes, the most frequently cited was 'Drove off Road,' attributed to 163 vehicle units. This was followed by 'Following too Close / ACDA' with 140 units and 'Failure to Yield' with 124 units. These top three factors represent common driver errors leading to collisions.
Driver Contributing Factor
Showing top 9 of 19 reported. 10 additional (75 total) not shown: Ran Red Light, Ran Stop Sign, Improper Passing, Improper Turn, Operating Defective Equipment, Improper Start From a Parked Position, Improper Lane Change, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way.
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 31 crashes involved a commercial truck. Of these incidents, 17 involved a semi-tractor trailer, while the remaining 14 involved other types of commercial vehicles such as single-unit trucks or cargo vans.
Vulnerable Road Users & Motorcycles
There were 17 crashes involving motorcyclists, pedestrians, or bicyclists. Motorcyclists were involved in 15 of these crashes. The remaining incidents included one crash involving a pedestrian and one involving a bicyclist.
Animal-Involved Crashes
Animal strikes were a factor in 74 crashes, representing 9.4% of all incidents. Collisions with deer were the most common type, accounting for 64 of these crashes, while other animals were involved in the remaining 10 incidents.
Impairment (Alcohol / Drugs)
Impairment was identified as a factor in 55 crashes, or 7.0% of the total. Alcohol was a factor in 32 of these crashes, drugs were involved in 19, and a combination of alcohol and drugs was noted in 4 cases.
Driver Condition
Beyond impairment, other driver conditions were noted in a smaller number of cases. Among 1,202 drivers, 13 were reported as having fallen asleep or being fatigued, and 8 were noted for illness at the time of the crash. An additional 46 drivers were listed as under the influence of medications, drugs, or alcohol.
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 1,202 drivers involved in crashes, a specific distraction was identified for 104 of them. The most cited issues were 'other distraction inside the vehicle' (55 drivers) and 'other distraction outside the vehicle' (25 drivers). A total of 22 drivers were distracted by some form of 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 69% of crashes occurred on straight road segments, roadway geometry played a role in a significant number of incidents. Crashes on a grade (uphill or downhill) accounted for 33.0% of the total (259 crashes). Crashes occurring on a curve made up 18.3% of all incidents (144 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 was concentrated in a few key areas. The township of Hillsboro saw the highest volume, with 240 crashes representing 30.5% of the county total. Liberty followed with 115 crashes (14.6%), and Paint township accounted for 70 crashes (8.9%).
Top Cities
Showing top 9 of 24 reported. 15 additional (171 total) not shown: Madison, Union, Washington, Hamer, Clay, Jackson, Brushcreek, Marshall, Whiteoak, Salem, Leesburg, Mowrystown, Lynchburg, Highland, Sinking Spring.
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 just before a crash was driving straight ahead, which was the case for 680 vehicles (54.1% of all units involved). Other frequent pre-crash actions included slowing or stopping in traffic (152 vehicles) and negotiating a curve (133 vehicles).
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (31 total) not shown: Changing Lanes, Other/Unknown, Driverless, Leaving Traffic Lane, Making U-Turn, Standing.
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, classified as 'Not Collision Between Two Vehicles in Transport,' were the most frequent crash type, comprising 375 crashes or 47.7% of the total. Among multi-vehicle crashes, angle collisions (149 incidents) and rear-end collisions (148 incidents) were the most common.
Manner of Collision
"Other" combines 2 smaller categories (11 records): Other/Unknown (9), 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 prevalent vehicle type in crashes, with 592 units involved. Sport Utility Vehicles (264 units) and pick-up trucks (257 units) were the next most common, reflecting the typical vehicle fleet on the road.
Vehicle Type
"Other" combines 12 smaller categories (51 records): Cargo Van (13), Unknown or Hit/Skip (9), Other Vehicle (7), Farm Equipment (5), Van (9-15 Seats) (4), Animal with Rider or Animal Drawn Vehicle (4), Heavy Equipment (2), Bus (16+ Passengers) (2), All Terrain Vehicle (ATV/UTV) (2), Pedestrian/Skater (1), Motorcycle 3 Wheeled (1), Bicycle (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 1,632 individuals involved in crashes, the vast majority were vehicle occupants. Drivers constituted 73.7% of the total (1,202 people), while passengers made up another 26.3% (429 people). A single pedestrian was also involved in a crash during this period.
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 1,632 people involved in crashes, 21.6% suffered some level of injury. This includes 10 individuals who were fatally injured, 46 with serious injuries, 200 with minor injuries, and 97 with possible injuries. The remaining 1,269 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
Data on safety equipment use was recorded for 1,631 vehicle occupants. Of these, 113 people, or 6.9% of the total, were reportedly not using any form of restraint. The majority of occupants (1,300 people) were documented as using a shoulder and lap belt.
Occupant Safety Equipment
"Other" combines 2 smaller categories (6 records): Lap Belt Only Used (4), Helmet Used (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
Two-vehicle crashes were the most common configuration, accounting for 419 incidents or 53.3% of the total. Single-vehicle crashes were also very common, making up 43.4% of all crashes with 341 incidents. Crashes involving three or more vehicles were rare, accounting for just over 3% of the total.
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: 786
- Total persons involved: 1,632
- Total vehicles involved: 1,258
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