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
4,671 CRASHES IN
OHIO, OH
2021
In 2021, Warren County recorded 4,671 traffic crashes, resulting in 8 fatalities and 1,562 injuries. These incidents involved 11,144 people and 8,319 vehicles. A notable finding is that the most common contributing factor cited for drivers was 'Following too Close / ACDA,' which was a factor in 1,370 instances.
4,671
Total Crash Events
8
Persons Killed
1,562
Persons Injured
9.7%
Hit-and-Run Rate
Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) 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
451
Hit-and-Run Crashes — 2021
In this period, 451 crashes were classified as hit-and-run incidents, accounting for 9.7% of all crashes in Warren County. This designation is based on the determination of the responding officer at the scene of the collision. These crashes represent a significant challenge for crash investigation and accountability.
Vulnerable Road User Casualties
In 2021, a total of 8 people were killed and 1,562 were injured in Warren County crashes. Motorists comprised the largest group of casualties, with 6 fatalities and 1,553 injuries. Critically, 2 pedestrians were killed and 9 were injured. No cyclists were killed or injured during this period.
2
Pedestrians Killed
6
Motorists Killed
9
Pedestrians Injured
1,553
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 frequency in Warren County peaked on Tuesdays, which saw 747 incidents over the year. The single busiest hour for crashes was the 4 p.m. afternoon commute hour, with 429 recorded events. Overall, crashes occurred more frequently during daylight hours, which accounted for 3,162 incidents, compared to 1,462 crashes during dark, dawn, or dusk conditions.
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, 75.6% (3,533 incidents), resulted in no injuries and were classified as property-damage-only. Injury crashes of any severity accounted for 24.2% of the total, including 91 serious injury crashes and 7 fatal crashes. These 7 fatal collisions resulted in a total of 8 fatalities.
Severity is per crash event (most severe injury). 7 fatal crash events resulted in 8 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 in Warren County occurred in ideal driving conditions. Specifically, 73.7% of crashes (3,442) happened on dry roads, 67.7% (3,162) in daylight, and 56.4% (2,633) in clear weather. Adverse conditions were also a factor, with 644 crashes occurring during rain and 1,025 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
Among the 11,144 people involved in crashes, the 16-20 age group was the most represented, with 1,727 individuals. The most common vehicle makes involved in collisions were Ford (1,275 vehicles), Chevrolet (1,155 vehicles), and Honda (879 vehicles). Passenger cars were the most frequent vehicle type involved, accounting for 4,105 of the 8,319 total vehicles.
Top Vehicle Makes (8,319 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
345 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (10,863 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 vast majority of crashes, 3,793 incidents, had their first harmful event occur on the primary roadway. However, a notable number of crashes involved vehicles leaving the travel lanes. A combined 713 crashes, or 15.3% of the total, occurred on the roadside, shoulder, or in the median, indicating a significant pattern of run-off-road events.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (33 records): Other/Unknown (16), Driveway/Alley access (11), On Gore (4), Bike Lane (2).
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 8,204 vehicle-level records with traffic control data shows that most crash-involved vehicles were at locations with no traffic control device, accounting for 4,999 units. Signalized intersections were the location for 2,588 vehicle involvements. Crashes at locations with stop signs involved 605 vehicles.
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 factor for drivers was 'Following too Close / ACDA,' listed in 1,370 instances. The second most common factor was 'Failure to Yield,' with 704 instances, followed by 'Drove off Road,' which was cited 562 times. These three factors represent the leading driver actions contributing to collisions.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (549 total) not shown: Left of Center, Improper Turn, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Ran Stop Sign, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Stopped or Parked Illegally, Improper Crossing, Wrong Way, 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
Crashes involving commercial trucks were a notable component of the total, with 370 such involvements recorded. Of these, 214 involved a semi-tractor-trailer, while 156 involved other types of commercial vehicles. These incidents represent crashes with potentially higher severity and complexity.
Vulnerable Road Users & Motorcycles
In 2021, there were 97 crashes involving vulnerable road users or motorcyclists. Motorcyclists were involved in 77 of these crashes. Pedestrians were involved in 13 crashes and bicyclists in 7, for a combined total of 20 crashes involving the most vulnerable road users.
Animal-Involved Crashes
A total of 329 crashes were attributed to collisions with animals, accounting for 7.0% of all crashes in the county. The vast majority of these incidents, 310 crashes, involved deer. The remaining 19 crashes involved other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 251 crashes, representing 5.4% of all incidents. Of these, alcohol was the sole factor in 156 cases, drugs were the sole factor in 52 cases, and a combination of alcohol and drugs was suspected in 43 cases. These figures should be considered a minimum, as impairment can be under-reported.
Driver Condition
Excluding drivers noted as 'Apparently Normal,' a total of 332 drivers were recorded with a specific adverse condition. The most common condition was being 'Under the Influence of Medications / Drugs / Alcohol,' with 215 drivers. Other reported conditions included fatigue or falling asleep (49 drivers), emotional distress (23 drivers), and physical impairment (23 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
Among drivers for whom a specific distraction was noted, the most common factor was an 'Other distraction inside the vehicle,' recorded for 160 drivers. This was followed by an 'Other distraction outside the vehicle' for 124 drivers. Electronic device use was also a factor, with 37 drivers 'Manually operating an electronic communication device' and 65 drivers engaged in 'Other activity with an 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
The roadway geometry was a factor in a significant portion of crashes. A total of 1,199 crashes, or 25.7% of all incidents, occurred on a grade, whether straight or curved. Additionally, 586 crashes (12.5% of the total) took place on a curve, highlighting elevated risk in these non-level and non-straight road segments.
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 Deerfield saw the highest number of crashes with 696, followed by the city of Franklin with 577 and the city of Mason with 571. Combined, these three municipalities accounted for 1,844 crashes, or 39.5% of the county's total.
Top Cities
Showing top 9 of 29 reported. 20 additional (955 total) not shown: Union, Monroe, Wayne, Washington, South Lebanon, Harlan, Salem, Massie, Carlisle, Clearcreek, Waynesville, Warren, Morrow, Maineville, Pleasant Plain, Harveysburg, Loveland, Five Points, Corwin, Blanchester.
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 actions prior to collision shows that most were engaged in routine maneuvers. Of the 8,319 vehicles involved, 4,438 were proceeding 'Straight Ahead.' The second most common action was 'Slowing or Stopped In Traffic,' which applied to 1,614 vehicles, often preceding rear-end collisions.
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (204 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Walking; Running; Jogging; Playing, Driverless, Other Non-Motorist, Entering or Crossing Specified Location, Standing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The data reveals two dominant crash patterns in Warren County. Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were the most common type, accounting for 1,481 incidents or 31.7% of the total. This was closely followed by 'Rear-end' collisions, which numbered 1,391, making up 29.8% of all crashes.
Manner of Collision
"Other" combines 2 smaller categories (87 records): Head-on (75), Rear-to-rear (12).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger vehicles were the most common type involved in crashes, with 4,105 'Passenger Cars' and 2,023 'Sport Utility Vehicles' recorded. Pick-up trucks were also frequently involved, with 990 units. Commercial vehicles, including semi-tractors, single-unit trucks, and cargo vans, accounted for a combined 506 vehicles involved in crashes.
Vehicle Type
"Other" combines 15 smaller categories (310 records): Unknown or Hit/Skip (104), Motorcycle 2 Wheeled (74), Bus (16+ Passengers) (29), Van (9-15 Seats) (26), Other Vehicle (25), Pedestrian/Skater (13), Heavy Equipment (11), Bicycle (7), Farm Equipment (7), Motorhome (6), Motorcycle 3 Wheeled (3), Golf Cart (2), All Terrain Vehicle (ATV/UTV) (1), Moped or Motorized Bicycle (1), Autocycle (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 11,144 individuals involved in traffic crashes, the majority were drivers, accounting for 8,031 people (72.1%). Vehicle occupants or passengers made up the next largest group, with 3,100 individuals (27.8%). A small but significant number, 13 people, were involved as pedestrians.
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 11,144 people involved in crashes, 1,570 individuals (14.1%) were either injured or killed. This includes 8 fatalities, 109 serious injuries, 814 minor injuries, and 639 possible injuries. The vast majority, 9,511 people, sustained no apparent injury.
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 use of safety equipment was widespread, with 9,480 individuals reported as using a shoulder and lap belt. However, 450 people involved in crashes were recorded as using no safety equipment at all, representing 4.1% of those with known equipment use. Additionally, 42 individuals were noted as using a helmet.
Occupant Safety Equipment
"Other" combines 2 smaller categories (95 records): Lap Belt Only Used (53), Helmet Used (42).
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 most common type of crash was a two-vehicle collision, accounting for 3,064 incidents or 65.6% of the total. Single-vehicle crashes were also common, with 1,337 incidents making up 28.6% of all crashes. Multi-vehicle pile-ups were less frequent, though 234 crashes involved three vehicles and one crash involved as many as six vehicles.
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 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 4,671
- Total persons involved: 11,144
- Total vehicles involved: 8,319
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