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
22,855 CRASHES IN
OHIO, OH
2021
In 2021, Franklin County recorded 22,855 traffic crashes, resulting in 128 fatalities and 11,527 injuries. These incidents involved 56,297 people and 44,808 vehicles. A notable finding from the data is that nearly one-third of all crashes, 30.3% or 6,933 incidents, were classified as hit-and-runs.
22,855
Total Crash Events
128
Persons Killed
11,527
Persons Injured
30.3%
Hit-and-Run Rate
Note: "Persons Killed" (128) counts individual fatalities across all crash events. "Fatal" in the severity table below (120) 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
6,933
Hit-and-Run Crashes — 2021
According to 2021 data, 6,933 crashes in Franklin County were classified as hit-and-runs, accounting for 30.3% of all incidents. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.
Vulnerable Road User Casualties
In 2021, motorists accounted for the largest number of traffic casualties, with 95 killed and 11,119 injured. Pedestrians represented a significant share of fatalities, with 33 individuals killed and 408 injured in crashes. According to the dataset, there were no cyclists killed or injured during this period.
33
Pedestrians Killed
95
Motorists Killed
408
Pedestrians Injured
11,119
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 2021 show a clear concentration during commuting hours and on specific days. The most frequent day for crashes was Friday, with 3,828 incidents recorded. The single most common hour for a crash was 3 p.m., which saw 1,818 incidents and initiated an evening peak that extended through 6 p.m. A majority of crashes, 14,146 incidents or 61.9%, 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 in 2021 did not result in physical harm, with 63.9% (14,608 crashes) classified as property-damage-only. Injury-involved crashes, ranging from possible to serious, accounted for 35.6% of all incidents. A total of 120 crashes were fatal, representing 0.5% of the total, and these events resulted in the deaths of 128 individuals.
Severity is per crash event (most severe injury). 120 fatal crash events resulted in 128 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
Most crashes in 2021 occurred under ideal environmental conditions. A significant majority of incidents took place in daylight (14,146 crashes), on dry roads (17,956 crashes), and in clear weather (14,887 crashes). Crashes in adverse weather included 2,511 in rain and 560 during snowfall, while 3,930 crashes occurred on wet road surfaces.
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
Analysis of individuals involved in crashes shows the 26-34 age group was the most represented, with 9,952 people, followed by the 35-44 age group with 7,852 individuals. Regarding vehicle makes, the three most frequently involved in crashes were Honda (5,552 vehicles), Chevrolet (5,274 vehicles), and Ford (5,232 vehicles).
Top Vehicle Makes (44,808 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
6,727 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (52,125 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 the vast majority of crashes (19,411 incidents) occurred on the primary roadway. However, a notable number of crashes originated off the main travel lanes. These run-off-road incidents included 979 on the roadside, 847 on the shoulder, and 178 in the median, collectively accounting for 12.4% of all crashes where the location was specified.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (263 records): Driveway/Alley access (113), Off ramp (107), On Gore (28), Shared-use paths or trails (6), Crossover (3), Railway grade crossing (3), Bike Lane (2), Toll Booth (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 traffic controls at crash locations shows that the majority of involved vehicles, 27,294 or 60.9%, were in areas with no traffic control device present. Crashes at signalized intersections involved 13,541 vehicles, representing 30.2% of the total. An additional 2,834 vehicles were involved in crashes at locations controlled by 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
The most common contributing factor cited for drivers was 'Following too Close / ACDA,' which was noted in 5,084 instances. This was followed by 'Failure to Yield' with 3,633 instances and 'Improper Lane Change' with 1,668 instances. Other significant factors included 'Drove off Road' (1,681) and 'Ran Red Light' (1,071).
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (2,896 total) not shown: Left of Center, Unsafe Speed, Ran Stop Sign, Swerving to Avoid, Improper Passing, Improper Crossing, Wrong Way, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Stopped or Parked Illegally, Vision Obstruction, Opening Door into Roadway, 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
A total of 1,550 crashes, or 6.8% of all incidents in 2021, involved a commercial truck. Among these, 863 crashes involved a semi-tractor trailer, while the remaining 687 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users and motorcyclists were categorized into three groups. In 2021, there were 448 crashes involving pedestrians, 342 involving motorcyclists, and 182 involving bicyclists. Combined, crashes involving pedestrians and bicyclists accounted for 630 incidents, or 2.8% of all crashes.
Animal-Involved Crashes
In 2021, there were 141 crashes reported as involving an animal, making up 0.6% of total incidents. The vast majority of these, 125 crashes, were strikes involving deer. An additional 16 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 1,465 crashes, representing 6.4% of all incidents. Among these, alcohol was the most common substance, involved in 1,020 crashes. Drugs were a factor in 263 crashes, and a combination of alcohol and drugs was present in 182 crashes.
Driver Condition
Beyond impairment from substances, other driver conditions were noted in the data. Among the 40,685 drivers involved in crashes, 1,110 were reported as being under the influence of medications, drugs, or alcohol. Other noted conditions included physical impairment (300 drivers), emotional distress (157 drivers), and fatigue or falling asleep (152 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
While most drivers were reported as not distracted, specific distractions were identified for 1,243 drivers. The most common cited distractions were 'other distraction inside the vehicle' (437 drivers) and 'other distraction outside the vehicle' (393 drivers). Electronic device use was specified for 329 drivers, including 146 who were manually operating a device like texting or dialing.
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
The vast majority of crashes (19,218) occurred on straight, level road segments. However, roadway geometry played a role in a subset of incidents. Crashes on a grade (either straight or curved) accounted for 2,347 incidents, while crashes on a curve (either level or graded) accounted for 2,015 incidents.
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 is highly concentrated, with the City of Columbus accounting for 13,911 incidents, or 60.9% of the county's total. Following Columbus, the municipalities with the highest crash volumes were Grove City with 805 crashes (3.5%), Reynoldsburg with 653 crashes (2.9%), and Dublin with 601 crashes (2.6%).
Top Cities
Showing top 9 of 40 reported. 31 additional (4,364 total) not shown: Franklin, Jackson, Sharon, Worthington, Upper Arlington, Madison, Clinton, Blendon, Mifflin, Bexley, Obetz, Hamilton, New Albany, Groveport, Pleasant, Perry, Jefferson, Grandview Heights, Brown, Canal Winchester, Norwich, Plain, Washington, Marble Cliff, Truro, Pickerington, Minerva Park, Brice, Harrisburg, Urbancrest, Valleyview.
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 vehicle movements immediately prior to a crash shows that the most common action was 'Straight Ahead,' accounting for 22,602 vehicles (50.5%). The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' which was the status of 6,371 vehicles (14.2%). Making a left turn was the third most common action, involving 4,140 vehicles.
Pre-Crash Driver Action
Showing top 9 of 21 reported. 12 additional (2,014 total) not shown: Entering Traffic Lane, Leaving Traffic Lane, Overtaking/Passing, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle, Working.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most frequent type of crash was an angle collision, which occurred in 6,406 incidents and accounted for 28.0% of the total. Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were the second most common type with 5,833 incidents (25.5%). Rear-end collisions were also highly prevalent, accounting for 5,602 crashes (24.5%).
Manner of Collision
"Other" combines 2 smaller categories (481 records): Backing (433), Rear-to-rear (48).
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 24,437 units (54.5% of all vehicles). Sport Utility Vehicles were the second most frequent, with 10,048 units involved (22.4%). Commercial vehicles, including semi-tractors, cargo vans, and buses, were involved in 2,308 instances, representing 5.1% of all vehicles in crashes.
Vehicle Type
"Other" combines 18 smaller categories (2,467 records): Single Unit Truck (466), Pedestrian/Skater (459), Other Vehicle (417), Motorcycle 2 Wheeled (347), Bus (16+ Passengers) (304), Bicycle (185), Van (9-15 Seats) (129), Heavy Equipment (92), All Terrain Vehicle (ATV/UTV) (16), Moped or Motorized Bicycle (13), Motorhome (9), Motorcycle 3 Wheeled (9), Autocycle (6), Golf Cart (5), Wheelchair (Any type) (5), Train (2), Farm Equipment (2), Limo (Livery 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 56,297 individuals involved in traffic crashes, the majority were drivers, accounting for 40,685 people (72.3%). Vehicle occupants (passengers) were the second largest group, with 15,148 individuals (26.9%). Pedestrians were involved in a smaller but significant number of incidents, with 464 individuals recorded.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Examining the outcomes for all 56,297 people involved, 41,730 individuals (74.1%) sustained no injuries. A total of 11,527 people were injured, representing 20.5% of all persons involved; this includes 783 serious injuries, 6,203 minor injuries, and 4,541 possible injuries. Fatal injuries were recorded for 128 individuals, which is 0.23% of all people involved in crashes.
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
The most commonly used safety equipment was a shoulder and lap belt, reported for 41,424 individuals. Conversely, 3,046 people, or 5.4% of all crash participants for whom this was recorded, were reported as using no safety equipment at all. An additional 1,833 individuals were in some form of child restraint, including forward-facing, rear-facing, and booster seats.
Occupant Safety Equipment
"Other" combines 5 smaller categories (481 records): Lap Belt Only Used (254), Helmet Used (207), Lighting - Pedestrian / Bicycle Only (16), Protective Pads Used (Elbow; knees; etc.) (3), Reflective Clothing (1).
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
The vast majority of crashes, 16,559 incidents or 72.5%, involved a collision between two vehicles. Single-vehicle crashes accounted for 3,935 incidents (17.2%). Crashes involving three or more vehicles numbered 2,361, with the largest incident in this dataset involving 13 vehicles.
Vehicles Per Crash
"Other" combines 3 smaller categories (6 records): 8 (3), 9 (2), 13 (1).
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: 22,855
- Total persons involved: 56,297
- Total vehicles involved: 44,808
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