ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · JANUARY 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/january-2021-report
Monthly Traffic Safety Analysis
19,931 CRASHES IN
OHIO, OH
JANUARY 2021
In January 2021, Ohio recorded 19,931 traffic crashes, resulting in 108 fatalities and 6,857 injuries. A notable finding from the data is that the most frequent type of incident, accounting for 39.4% of all crashes, was not a collision between two vehicles in transport, a category that includes single-vehicle events like running off the road or striking a fixed object.
19,931
Total Crash Events
108
Persons Killed
6,857
Persons Injured
19.5%
Hit-and-Run Rate
Note: "Persons Killed" (108) counts individual fatalities across all crash events. "Fatal" in the severity table below (97) 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 2021-01-31 · Aggregate counts from crash, person, and vehicle records
3,883
Hit-and-Run Crashes — January 2021
In this period, 3,883 crashes, or 19.5% of the total, were classified as hit-and-run incidents. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the crash.
Vulnerable Road User Casualties
In January 2021, motorists accounted for the largest number of casualties, with 85 fatalities and 6,718 injuries. Pedestrians represented a significant portion of fatalities, with 23 individuals killed and 139 injured in crashes. The data reported no cyclist fatalities or injuries during this period.
23
Pedestrians Killed
85
Motorists Killed
139
Pedestrians Injured
6,718
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency varied significantly by time of day and week. The data shows a peak on Fridays, which recorded 3,591 incidents. The single busiest hour for crashes was the 6 p.m. hour, with 1,589 events. Crashes were distributed throughout the 24-hour cycle, with 9,509 (47.7%) occurring in daylight and 9,022 (45.3%) occurring in dark conditions.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 75.3% (15,013 incidents), resulted in no injuries. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 24.2% of the total. There were 97 distinct fatal crashes during this period, which resulted in a total of 108 fatalities, indicating some crashes involved multiple deaths.
Severity is per crash event (most severe injury). 97 fatal crash events resulted in 108 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Most severe injury per crash record
Road & Environmental Conditions
A significant portion of crashes occurred in seemingly favorable conditions, with 42.1% (8,385) happening in clear weather and 59.6% (11,888) on dry road surfaces. Crashes during daylight hours accounted for 47.7% (9,509) of the total. Conversely, adverse conditions were also prevalent, with 24.1% of crashes occurring in rain, snow, or sleet, and 39.2% on roads that were wet, snowy, or icy.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 6,914 individuals. Among the 34,274 vehicles involved, Chevrolet was the most frequent make with 5,271 vehicles recorded. Ford followed with 5,048 vehicles, and Honda was third with 2,854 vehicles.
Top Vehicle Makes (34,274 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
3,452 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (38,804 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The initial harmful event in most crashes, 15,617 incidents, occurred on the roadway itself. A notable 3,328 crashes, representing 16.7% of the total, were classified as run-off-road events where the first harmful event happened on the roadside, shoulder, or in the median.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (198 records): Driveway/Alley access (90), On ramp (64), On Gore (16), Crossover (9), Shared-use paths or trails (8), Railway grade crossing (6), Toll Booth (4), Bike Lane (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls present at crash locations shows that the majority of vehicles involved, 22,445, were in areas with no traffic control device. For comparison, 8,668 vehicles were involved in crashes at locations with a traffic signal, and 2,406 were at locations with a stop sign.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
Driver Contributing Factor
Among contributing factors cited for drivers, 'Following too Close / ACDA' was the most common, attributed to 3,684 vehicles. 'Failure to Yield' was the next most frequent factor with 2,460 instances, followed by 'Drove off Road' (2,384) and 'Unsafe Speed' (1,563).
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (2,598 total) not shown: Improper Turn, Improper Backing, Ran Stop Sign, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Vision Obstruction, 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 2021-01-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 1,375 crashes, representing 6.9% of all incidents, involved a commercial vehicle. Of these, 810 crashes involved a semi-tractor trailer, while 565 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users included 172 incidents with pedestrians and 28 with bicyclists. Combined, these 200 crashes represent 1.0% of all incidents. Additionally, 23 crashes involved a motorcyclist.
Animal-Involved Crashes
There were 1,379 crashes involving animals, accounting for 6.9% of all reported incidents. The vast majority of these, 1,284 crashes, were collisions with deer, while 95 involved other animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 1,128 crashes, or 5.7% of the total. Among these, alcohol was cited in 761 cases, drugs in 240 cases, and a combination of alcohol and drugs in 127 cases.
Driver Condition
While most drivers were listed as 'Apparently Normal,' specific conditions were noted for 1,497 drivers. 'Under the Influence of Medications / Drugs / Alcohol' was the most cited condition, affecting 955 drivers. Other reported conditions included fatigue or falling asleep (172 drivers), physical impairment (165 drivers), and emotional distress (122 drivers).
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Driver Distraction
Among the 31,611 drivers with data, a specific distraction was identified for 1,125 individuals. The most common citation was 'Other distraction inside the vehicle' with 473 instances, followed by 'Other distraction outside the vehicle' with 284. Electronic devices were a factor, with 136 drivers manually operating a device and 129 engaged in other electronic device activity.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Road Alignment
The road geometry was a straight and level surface for 14,452 crashes. However, a notable number of incidents occurred on non-level or curved roads. Crashes on grades (both straight and curved) accounted for 4,217 incidents (21.2% of the total), while crashes on curves (both level and graded) accounted for 2,377 incidents (11.9%).
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Top Cities
The geographic distribution of crashes was concentrated in major urban areas. Cincinnati had the highest volume with 1,176 crashes, followed by Cleveland with 1,040 and Columbus with 1,024. Together, these three cities accounted for 16.3% of all crashes statewide during this period.
Top Cities
Showing top 9 of 50 reported. 41 additional (4,191 total) not shown: Canton, Liberty (Township Of), Washington (Township Of), Green (Township Of), Springfield, Perry (Township Of), Hamilton, Jefferson (Township Of), Harrison (Township Of), Miami (Township Of), West Chester (Township Of) Aka Union Township, Youngstown, Colerain (Township Of), Franklin (Township Of), Madison (Township Of), Elyria, Mansfield, Lima, Zanesville, Mentor, Fairfield, Lorain, Lancaster, Beavercreek, Cuyahoga Falls, Boardman (Township Of), Newark, Monroe (Township Of), Concord (Township Of), Sylvania (Township Of), Pleasant (Township Of), Green, Richland (Township Of), Marion (Township Of), Middletown, Parma, Marion, Salem (Township Of), Huber Heights, Findlay, Lakewood.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Pre-Crash Driver Action
The most common action by vehicles immediately prior to a crash was driving 'Straight Ahead,' which was the case for 18,427 vehicles. The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' recorded for 4,421 vehicles. 'Making Left Turn' was the third most common action, involving 2,818 vehicles.
Pre-Crash Driver Action
Showing top 9 of 21 reported. 12 additional (1,341 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Entering or Crossing Specified Location, Other Non-Motorist, Standing, Working, Standing Outside Disabled Vehicle, Approaching or Leaving Vehicle.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
Manner of Collision
The most frequent crash type was 'Not Collision Between Two Vehicles in Transport,' which accounted for 7,850 incidents, or 39.4% of the total. Among crashes involving multiple vehicles, angle collisions were most common (4,382 crashes, 22.0%), followed closely by rear-end collisions (4,036 crashes, 20.2%).
Manner of Collision
"Other" combines 2 smaller categories (462 records): Backing (415), Rear-to-rear (47).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 17,714 of the 34,274 vehicles (51.7%). Sport Utility Vehicles (7,835) and Pick up trucks (3,866) were also frequently involved. Commercial vehicles, including semi-tractors, single unit trucks, and buses, comprised 5.3% of all vehicles in crashes.
Vehicle Type
"Other" combines 19 smaller categories (1,051 records): Single Unit Truck (355), Pedestrian/Skater (174), Other Vehicle (145), Bus (16+ Passengers) (129), Van (9-15 Seats) (101), Heavy Equipment (42), Bicycle (28), Motorcycle 2 Wheeled (23), Animal with Rider or Animal Drawn Vehicle (15), All Terrain Vehicle (ATV/UTV) (11), Motorhome (7), Farm Equipment (5), Golf Cart (4), Autocycle (4), Wheelchair (Any type) (2), Moped or Motorized Bicycle (2), Train (2), Limo (Livery Vehicle) (1), Motorcycle 3 Wheeled (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
Person Type
Of the 41,565 individuals involved in crashes, the majority (31,611, or 76.1%) were drivers. Vehicle occupants, or passengers, accounted for 9,777 individuals (23.5%). Pedestrians made up 0.4% of the total persons involved, with 177 individuals recorded.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Person Injury Severity
Across all 41,565 people involved in crashes, a total of 6,857 individuals sustained some level of injury, representing 16.5% of all participants. Fatal injuries were recorded for 108 individuals, accounting for 0.26% of all persons involved. The vast majority, 33,164 people, were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants for whom safety equipment use was recorded, 1,849 individuals (4.5%) were documented as using no restraint system at all. The most common status was 'Shoulder and Lap Belt Used,' reported for 32,667 people. Child restraint systems, including forward-facing, rear-facing, and booster seats, were used by a combined 1,327 occupants.
Occupant Safety Equipment
"Other" combines 5 smaller categories (207 records): Lap Belt Only Used (192), Helmet Used (12), Protective Pads Used (Elbow; knees; etc.) (1), Lighting - Pedestrian / Bicycle Only (1), Reflective Clothing (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Vehicles Per Crash
The data shows that most incidents were two-vehicle crashes, accounting for 12,066 events or 60.5% of the total. Single-vehicle crashes were also common, with 6,832 incidents making up 34.3% of all crashes. Multi-vehicle pile-ups involving three or more vehicles were less frequent, with the largest pile-ups in this period involving 9 vehicles.
Vehicles Per Crash
"Other" combines 1 smaller categories (3 records): 9 (3).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · 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 2021-01-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-01-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 19,931
- Total persons involved: 41,565
- Total vehicles involved: 34,274
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: January 2021." Published July 5, 2026. Reporting period: 2021-01-01 to 2021-01-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/january-2021-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 – 2021-01-31
Generated: July 5, 2026 · All rights reserved