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
1,693 CRASHES IN
OHIO, OH
2021
In 2021, Columbiana County recorded 1,693 traffic crashes, which resulted in 15 fatalities and 660 injuries. A notable finding from the data is that single-vehicle crashes, defined as incidents not involving a collision with another vehicle in transport, constituted half of all reported crashes (846 incidents).
1,693
Total Crash Events
15
Persons Killed
660
Persons Injured
9.5%
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
160
Hit-and-Run Crashes — 2021
There were 160 hit-and-run incidents reported in 2021, accounting for 9.5% of all crashes in Columbiana County. This classification is based on the determination made by the responding law enforcement officer at the scene of the crash.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or seriously injured, with 13 fatalities and 652 injuries. Crashes also resulted in 2 pedestrian fatalities and 8 pedestrian injuries. No bicyclists were killed or injured in 2021.
2
Pedestrians Killed
13
Motorists Killed
8
Pedestrians Injured
652
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 Columbiana County show a distinct peak during the weekday afternoon commute, with the highest number of incidents occurring at 5 p.m. (154 crashes). Friday was the most frequent day for crashes, with 288 incidents reported. Overall, a majority of crashes (1,032, or 61%) 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 (72.1%, or 1,221 incidents) resulted in no injuries. Injury-sustaining crashes accounted for 27.1% of the total, including 57 with serious injuries, 263 with minor injuries, and 138 with possible injuries. 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
A majority of crashes occurred in favorable conditions, with 75.4% (1,276 crashes) on dry road surfaces and 61.0% (1,032 crashes) during daylight hours. Regarding weather, 84.3% of incidents took place in clear or cloudy conditions, while rain was a factor in 169 crashes and snow in 69 crashes.
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 3,423 people involved in crashes, the 26-34 age group was the most represented with 543 individuals, followed by the 16-20 age group (465) and the 65+ age group (456). The most frequently involved vehicle makes were Chevrolet (552 vehicles), Ford (483 vehicles), and Dodge (214 vehicles).
Top Vehicle Makes (2,676 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
95 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,359 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 the majority of crashes (1,207 incidents) had their first harmful event on the roadway, a significant number were run-off-road events. A total of 469 crashes, representing 27.7% of all incidents, occurred off the primary travel lanes, including 379 on the roadside and 57 on the shoulder.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (7 records): On ramp (3), Railway grade crossing (2), Other/Unknown (1), 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
Analysis of the 2,676 vehicles involved in crashes shows that most incidents occurred at locations without traffic controls, accounting for 1,981 vehicles (74.3%). Vehicles at intersections with traffic signals were involved in 345 cases (12.9%), and those at stop signs were involved in 281 cases (10.5%).
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 most frequently cited contributing factors for drivers involved in crashes were 'Drove off Road' (380 instances), 'Following too Close / ACDA' (311 instances), and 'Failure to Yield' (288 instances). These three factors represent the primary driver actions leading to collisions in the dataset.
Driver Contributing Factor
Showing top 9 of 21 reported. 12 additional (156 total) not shown: Swerving to Avoid, Ran Stop Sign, Ran Red Light, Improper Lane Change, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Wrong Way, Improper Start From a Parked Position, Vision Obstruction, Lying in Roadway, Improper Crossing.
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 110 commercial trucks were involved in crashes during this period. The incidents were split almost evenly between semi-tractor trailers, which accounted for 56 of the vehicles, and other types of commercial vehicles, which accounted for the remaining 54.
Vulnerable Road Users & Motorcycles
Crashes in 2021 involved 56 vulnerable road users and motorcyclists. This total includes 46 motorcyclists, 9 pedestrians, and 1 bicyclist. These user types are often associated with higher rates of injury and fatality.
Animal-Involved Crashes
Animal-related collisions accounted for 182 incidents, or 10.7% of all crashes in the county. Deer were the most common animal involved, cited in 166 of these crashes, with other animal types accounting for the remaining 16 incidents.
Impairment (Alcohol / Drugs)
Impairment was a contributing factor in 129 crashes, representing 7.6% of the total. Alcohol was the most cited substance, involved in 91 of these cases, while drugs were a factor in 23 cases and a combination of alcohol and drugs was noted in 15 cases.
Driver Condition
Beyond 'Apparently Normal,' the most common driver condition noted was being 'Under the Influence of Medications / Drugs / Alcohol,' which was reported for 126 drivers. Additionally, 25 drivers were reported to have 'Fell Asleep; Fainted; Fatigued; etc.', and 11 had a 'Physical Impairment' at the time of the 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 drivers for whom a distraction was noted, the most common types were 'Other distraction inside the vehicle' (41 drivers) and 'Other distraction outside the vehicle' (22 drivers). The use of an electronic device was cited as a distraction for 16 drivers, including 6 who were manually operating the 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 a majority of crashes occurred on straight and level sections of road, roadway geometry was a factor in a notable number of incidents. Crashes on curves (both level and on a grade) accounted for 316 incidents (18.7% of the total), while crashes on grades (both straight and on a curve) occurred in 540 incidents (31.9%).
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 Salem recorded the highest number of incidents with 253, followed by the townships of East Liverpool and St. Clair, which each reported 198 crashes. These three municipalities alone accounted for 38.3% of all crashes in the county.
Top Cities
Showing top 9 of 30 reported. 21 additional (504 total) not shown: Hanover, Elkrun, Middleton, Butler, Perry, West, Yellow Creek, East Palestine, Wayne, Lisbon, Washington, Franklin, Leetonia, Liverpool, New Waterford, Hanoverton, Wellsville, Salineville, Rogers, Washingtonville, Homeworth.
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 'Straight Ahead,' reported for 1,558 vehicles (58.2% of all involved units). Other frequent pre-crash actions included 'Slowing or Stopped In Traffic' (281 vehicles, or 10.5%) and 'Making Left Turn' (226 vehicles, or 8.4%).
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (92 total) not shown: Other/Unknown, Changing Lanes, Driverless, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Making U-Turn, Other Non-Motorist, Standing, Approaching or Leaving Vehicle.
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 predominant type of incident, with 846 crashes (50.0%) classified as 'Not Collision Between Two Vehicles in Transport.' Among collisions involving multiple vehicles, angle collisions were the most frequent, accounting for 357 incidents (21.1%), followed by rear-end collisions with 294 incidents (17.4%).
Manner of Collision
"Other" combines 1 smaller categories (12 records): Other/Unknown (12).
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 type of vehicle involved in crashes, accounting for 1,161 units (43.4%). Sport Utility Vehicles (673 units) and Pick-up trucks (480 units) were the next most frequent. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 141 cases, representing 5.3% of all vehicles.
Vehicle Type
"Other" combines 13 smaller categories (123 records): Cargo Van (39), Unknown or Hit/Skip (35), Pedestrian/Skater (10), Other Vehicle (10), Van (9-15 Seats) (8), Farm Equipment (7), All Terrain Vehicle (ATV/UTV) (4), Animal with Rider or Animal Drawn Vehicle (3), Bus (16+ Passengers) (2), Heavy Equipment (2), Bicycle (1), Motorhome (1), Moped or Motorized 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 3,423 individuals involved in traffic incidents, the vast majority were drivers, accounting for 2,552 people (74.5%). Vehicle occupants (passengers) represented the next largest group with 861 individuals (25.2%), while pedestrians accounted for 10 of the people involved.
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 3,423 people involved in crashes, 660 individuals (19.3%) sustained an injury and 15 (0.4%) were fatally injured. The majority of participants, 2,701 people, were not physically injured in their respective incidents.
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
Among vehicle occupants for whom restraint use was documented, 226 individuals were reported as using no safety equipment. In contrast, 2,798 occupants were recorded as having used both a shoulder and lap belt, indicating a high rate of use among those involved in crashes.
Occupant Safety Equipment
"Other" combines 2 smaller categories (45 records): Booster Seat (27), Helmet Used (18).
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 collisions were the most common crash configuration, comprising 878 incidents (51.9% of the total). Single-vehicle crashes were also highly frequent, accounting for 766 incidents (45.2%). Crashes involving three or more vehicles were far less common, representing only 49 incidents (2.9%).
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: 1,693
- Total persons involved: 3,423
- Total vehicles involved: 2,676
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