ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · DECEMBER 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/december-2021-report
Monthly Traffic Safety Analysis
23,458 CRASHES IN
OHIO, OH
DECEMBER 2021
In December 2021, Ohio recorded 23,458 traffic crashes, resulting in 99 fatalities and 7,768 injuries. Analysis of temporal patterns reveals that Wednesdays were the most frequent day for crashes, with 4,177 incidents, and the evening commute hour of 5 PM saw the highest concentration of events with 2,275 crashes.
23,458
Total Crash Events
99
Persons Killed
7,768
Persons Injured
16.8%
Hit-and-Run Rate
Note: "Persons Killed" (99) 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 · 2021-12-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
3,947
Hit-and-Run Crashes — December 2021
There were 3,947 hit-and-run crashes reported, accounting for 16.8% of all incidents during this period. This classification is based on the initial determination made by the responding officer at the scene of the crash.
Vulnerable Road User Casualties
Of the 99 total fatalities, 21 were pedestrians, representing a significant portion of those killed in traffic violence. An additional 230 pedestrians were injured. While the data indicates no cyclists were killed or injured, motorists accounted for the largest number of casualties with 78 fatalities and 7,538 injuries.
21
Pedestrians Killed
78
Motorists Killed
230
Pedestrians Injured
7,538
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 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 mid-week, with Wednesday recording the most incidents (4,177), followed by Friday (3,984) and Thursday (3,863). The single hour with the most crashes was the 5 PM evening commute, which saw 2,275 incidents. A smaller peak occurred during the morning commute at 7 AM, with 1,084 crashes.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes (76.6%) resulted in no injuries and were property-damage-only events. Incidents involving some level of injury—serious, minor, or possible—accounted for 23.0% of the total. There were 97 fatal crashes recorded, which resulted in 99 total fatalities, indicating that some crashes involved more than one death.
Severity is per crash event (most severe injury). 97 fatal crash events resulted in 99 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
A significant portion of crashes occurred in seemingly ideal conditions, with 68.1% on dry roads and 50.0% in clear weather. However, only 46.4% of crashes happened during daylight hours. Crashes in adverse weather included 3,686 in rain and 578 in snow, while 6,455 incidents occurred on wet road surfaces.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
The 26-34 age group was the most frequently involved demographic in crashes, accounting for 8,280 of the 51,924 people involved. Among the 41,537 vehicles with a recorded type, passenger cars were the most common. The vehicle makes most often documented in crashes were Chevrolet (6,311), Ford (5,894), and Honda (3,655).
Top Vehicle Makes (41,537 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records
3,728 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (48,969 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The vast majority of crashes, 19,606, had their first harmful event occur on the main roadway. However, a notable number of incidents were run-off-road events, with a combined 3,416 crashes (14.6%) originating on the roadside, shoulder, median, or outside the designated trafficway.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (196 records): On ramp (91), Driveway/Alley access (61), Toll Booth (12), Railway grade crossing (11), On Gore (10), Shared-use paths or trails (4), Crossover (4), Bike Lane (3).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls where vehicles crashed indicates that a majority of vehicles (64.9%) were involved in incidents where no traffic control device was present. Crashes at signalized intersections involved 26.2% of vehicles, while those at locations with stop signs involved 6.8%.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records
Driver Contributing Factor
The most frequently cited contributing factor for drivers was 'Following too Close / ACDA,' which was noted in 5,048 instances. This was followed by 'Failure to Yield' with 3,444 instances and 'Drove off Road' with 2,189 instances. Other common factors included 'Improper Lane Change' (1,314) and 'Unsafe Speed' (1,007).
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (3,191 total) not shown: Improper Backing, Left of Center, Swerving to Avoid, Ran Stop Sign, Improper Passing, Operating Defective Equipment, Improper Start From a Parked Position, Improper Crossing, Load shifting/Falling/Spilling, Wrong Way, Vision Obstruction, Stopped or Parked Illegally, Lying in Roadway, Opening Door into Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 1,602 commercial trucks were involved in crashes during this period. Of these, 906 were identified as semi-tractor trailers, while 696 were classified as other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users included 260 incidents with pedestrians and 43 with bicyclists, for a combined total of 303 crashes. An additional 65 crashes involved motorcyclists. These crashes collectively represent about 1.5% of all incidents.
Animal-Involved Crashes
There were 2,241 crashes involving animals, accounting for 9.5% of all reported incidents. The vast majority of these, 2,086 crashes, specifically involved deer. Collisions with other animals accounted for the remaining 155 incidents.
Impairment (Alcohol / Drugs)
Impairment was a factor in 1,113 crashes, representing 4.7% of the total. Among these, alcohol was the most common substance, cited in 823 incidents. Drug impairment was noted in 169 cases, and a combination of alcohol and drugs was a factor in 121 crashes.
Driver Condition
Beyond impairment from substances, other driver conditions were noted in a smaller number of records. These included 214 instances of falling asleep or fatigue, 150 cases of physical impairment, and 138 instances of emotional distress. An additional 929 drivers were noted as being under the influence of medications, drugs, or alcohol.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events
Driver Distraction
Among drivers for whom distraction information was available, specific distractions were identified in a minority of cases. The most common were general distractions inside the vehicle (508 drivers) and outside the vehicle (414 drivers). Electronic device use was explicitly cited for 291 drivers, including 136 who were manually operating a device.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events
Road Alignment
While most crashes (17,620) occurred on straight and level road segments, road geometry was a factor in a notable share of incidents. Approximately 10.0% of crashes (2,355) happened on curves. Roadways with a grade were the site of 19.3% of crashes, including 1,088 incidents that occurred on a segment that was both curved and graded.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records
Top Cities
The geographic distribution of crashes is concentrated in Ohio's major urban centers. Cincinnati reported the highest number of crashes with 1,305 incidents, followed by Columbus (1,197) and Cleveland (1,111). Together, these three cities accounted for approximately 15.4% of all crashes statewide during this period.
Top Cities
Showing top 9 of 50 reported. 41 additional (4,919 total) not shown: Canton, Liberty (Township Of), Green (Township Of), Washington (Township Of), Miami (Township Of), Springfield, Perry (Township Of), Colerain (Township Of), Youngstown, Hamilton, Jefferson (Township Of), Franklin (Township Of), Madison (Township Of), Lorain, Boardman (Township Of), Harrison (Township Of), Mansfield, Middletown, West Chester Township, Zanesville, Findlay, Lancaster, Lima, Mentor, Plain (Township Of), Cuyahoga Falls, Fairfield, Reynoldsburg, Deerfield (Township Of), Grove City, Sylvania (Township Of), Beavercreek, Elyria, Monroe (Township Of), Clinton (Township Of), Newark, Pleasant (Township Of), Euclid, Orange (Township Of), Wayne (Township Of), Sycamore (Township Of).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Analysis of vehicle actions prior to collision shows that the majority of vehicles (54.2%) were proceeding straight ahead. A significant number of vehicles were either slowing or stopped in traffic (14.1%) or in the process of making a left turn (8.6%) when the crash occurred.
Pre-Crash Driver Action
Showing top 9 of 21 reported. 12 additional (1,621 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, Standing Outside Disabled Vehicle, Approaching or Leaving Vehicle, Working.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most common crash type was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 35.1% of all crashes. Among multi-vehicle crashes, angle collisions were the most frequent type, representing 23.5% of incidents, followed closely by rear-end collisions at 22.7%.
Manner of Collision
"Other" combines 2 smaller categories (554 records): Sideswipe; opposite direction (485), Rear-to-rear (69).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 50.8% of all vehicles, followed by Sport Utility Vehicles at 24.2%. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, collectively made up approximately 5.3% of the vehicles involved in these incidents.
Vehicle Type
"Other" combines 19 smaller categories (1,513 records): Single Unit Truck (458), Pedestrian/Skater (271), Bus (16+ Passengers) (223), Other Vehicle (198), Van (9-15 Seats) (137), Motorcycle 2 Wheeled (63), Heavy Equipment (54), Bicycle (44), Animal with Rider or Animal Drawn Vehicle (16), Farm Equipment (15), All Terrain Vehicle (ATV/UTV) (12), Moped or Motorized Bicycle (8), Motorhome (4), Train (3), Motorcycle 3 Wheeled (2), Wheelchair (Any type) (2), Limo (Livery Vehicle) (1), Golf Cart (1), Autocycle (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records
Person Type
A total of 51,924 individuals were involved in crashes during this period. Drivers constituted the largest group, accounting for 75.2% of all persons involved. Vehicle occupants (passengers) made up another 24.2%, while pedestrians accounted for 281 individuals, or 0.5% of the total.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Of the 51,924 people involved in crashes, 99 sustained fatal injuries, representing 0.19% of all individuals. A total of 7,768 people sustained non-fatal injuries, categorized as serious (545), minor (3,587), or possible (3,636). The majority of people involved, 42,407, were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records
Occupant Safety Equipment
Among over 51,000 vehicle occupants for whom safety equipment use was recorded, 41,415 were reported as using a shoulder and lap belt. However, 2,366 occupants were documented as using no safety equipment at all, representing 4.6% of this group. An additional 1,722 individuals were secured by various child restraint systems.
Occupant Safety Equipment
"Other" combines 3 smaller categories (278 records): Lap Belt Only Used (238), Helmet Used (33), Lighting - Pedestrian / Bicycle Only (7).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The most common type of collision involved two vehicles, accounting for 15,146 crashes or 64.5% of the total. Single-vehicle crashes were the next most frequent, with 6,990 incidents, representing 29.8% of all crashes. Multi-vehicle incidents involving three or more vehicles were less common, though one crash involved as many as 11 vehicles.
Vehicles Per Crash
"Other" combines 2 smaller categories (2 records): 11 (1), 10 (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 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: 2021-12-01 through 2021-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-12-01 through 2021-12-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 23,458
- Total persons involved: 51,924
- Total vehicles involved: 41,537
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: December 2021." Published July 5, 2026. Reporting period: 2021-12-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/december-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: 2021-12-01 – 2021-12-31
Generated: July 5, 2026 · All rights reserved