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
8,197 CRASHES IN
OHIO, OH
2021
In 2021, Butler County recorded 8,197 traffic crashes, resulting in 35 fatalities and 3,099 injuries. Analysis of contributing factors reveals that following too closely was the most cited improper action, attributed to 2,330 vehicles involved in collisions. These incidents most frequently occurred on Fridays and during the 4 p.m. hour, highlighting patterns associated with peak travel times.
8,197
Total Crash Events
35
Persons Killed
3,099
Persons Injured
18.1%
Hit-and-Run Rate
Note: "Persons Killed" (35) counts individual fatalities across all crash events. "Fatal" in the severity table below (33) 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
1,483
Hit-and-Run Crashes — 2021
During this period, 1,483 crashes were classified as hit-and-run incidents, accounting for 18.1% of all crashes in the county. This designation is based on the determination of the responding law enforcement officer at the scene of the collision. These crashes represent a significant portion of the total incidents reported.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or injured, with 27 fatalities and 3,044 injuries. Crashes also resulted in 8 pedestrian fatalities and 55 pedestrian injuries. According to the data, no cyclists were killed or injured during this period.
8
Pedestrians Killed
27
Motorists Killed
55
Pedestrians Injured
3,044
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 show a distinct peak during the work week, culminating on Friday with 1,342 incidents. The most hazardous time of day was the afternoon commute, with a peak of 761 crashes occurring during the 4 p.m. hour. Overall, a majority of crashes, 5,398 in total, happened 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
Of the 8,197 crashes, 73% (5,984) resulted in no injuries, involving only property damage. The remaining incidents involved some level of injury, including 172 crashes with serious injuries and 1,019 with minor injuries. There were 33 distinct fatal crashes, which resulted in a total of 35 fatalities, as a single crash can lead to multiple deaths.
Severity is per crash event (most severe injury). 33 fatal crash events resulted in 35 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
The majority of crashes occurred in ideal driving conditions. Specifically, 61.4% (5,034) of crashes happened in clear weather, 75.8% (6,215) on dry road surfaces, and 65.9% (5,398) during daylight hours. Crashes in adverse conditions were less frequent, with 949 incidents reported during rain and 1,614 on wet roads.
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 19,564 individuals involved in crashes, the largest demographic was the 26-34 age group, accounting for 2,954 people. The most frequently involved vehicle makes were Chevrolet (2,375 vehicles), Ford (2,196 vehicles), and Honda (1,518 vehicles). Passenger cars were the most common vehicle type involved, with 7,933 units recorded in crashes.
Top Vehicle Makes (15,545 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
1,342 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (18,459 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, 7,109 out of 8,197, had their first harmful event occur on the main roadway. However, a notable portion were run-off-road incidents, with a combined 769 crashes (9.4%) occurring on the shoulder, roadside, or in the median. These events indicate instances where vehicles departed the intended travel lanes.
Crash Location (First Harmful Event)
"Other" combines 6 smaller categories (86 records): Shared-use paths or trails (28), In Median (27), On ramp (25), Railway grade crossing (3), Crossover (2), 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 15,517 vehicles with traffic control data shows that the most common scenario was an absence of traffic controls, accounting for 9,282 vehicles. Locations with traffic signals were the site of collisions involving 5,007 vehicles. Crashes at intersections controlled by stop signs involved 1,037 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 vehicles in crashes was 'Following too Close / ACDA,' attributed to 2,330 units. 'Failure to Yield' was the second-most common factor, noted for 1,309 vehicles. Other significant factors included 'Drove off Road' (661 vehicles) and 'Improper Lane Change' (502 vehicles).
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (922 total) not shown: Unsafe Speed, Improper Turn, Ran Stop Sign, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Improper Crossing, Load shifting/Falling/Spilling, Improper Start From a Parked Position, 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 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 516 commercial trucks were involved in crashes in Butler County. Of these, 270 were identified as semi-tractor trailers, while the remaining 246 were classified as other types of commercial vehicles. These vehicles represent a notable category due to their size and potential crash severity.
Vulnerable Road Users & Motorcycles
Crashes in 2021 involved 101 motorcyclists, 64 pedestrians, and 23 bicyclists. Combined, there were 87 incidents involving vulnerable road users (pedestrians and bicyclists). These types of crashes are often associated with a higher risk of severe injury or fatality.
Animal-Involved Crashes
There were 267 crashes involving collisions with animals reported in the county. The vast majority of these incidents, 234 crashes, were attributed to collisions with deer. The remaining 33 crashes involved other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 390 crashes, representing 4.8% of the total. Alcohol was involved in 300 of these incidents, drugs were a factor in 56, and a combination of alcohol and drugs was present in 34. These figures should be considered a minimum, as impairment can be under-reported.
Driver Condition
Among the 14,172 drivers involved in crashes, a small but significant number were noted to have a condition affecting their driving ability. This includes 304 drivers reported as being under the influence of alcohol, drugs, or medication. Additionally, 74 drivers were reported as fatigued or having fallen asleep, and 73 had a physical impairment.
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 were general distractions inside the vehicle (173 drivers) or outside the vehicle (123 drivers). Electronic device use was also a factor, with 62 drivers manually operating a device like a phone for texting or dialing, and 18 drivers talking on a hand-held 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
Analysis of roadway geometry shows that 19.5% of crashes (1,602) occurred on a grade, whether straight or curved. An additional 7.5% of crashes (611) took place on curves. The majority of incidents, 6,214 crashes, occurred on straight and level sections of road.
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 Hamilton recorded the highest number of incidents with 1,818 crashes, representing 22.2% of the county's total. West Chester and Fairfield also saw high volumes, with 1,598 (19.5%) and 1,471 (17.9%) crashes, respectively.
Top Cities
Showing top 9 of 23 reported. 14 additional (798 total) not shown: Trenton, Madison, St. Clair, Lemon, Wayne, Milford, Morgan, Reily, Millville, New Miami, Seven Mile, Beckett Ridge, Jacksonburg, College Corner.
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 driving straight ahead, which was the case for 8,036 vehicles. The next most frequent pre-crash action was slowing or stopping in traffic, involving 2,637 vehicles. Making a left turn was the third most common action, recorded for 1,442 vehicles.
Pre-Crash Driver Action
Showing top 9 of 20 reported. 11 additional (507 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Driverless, Walking; Running; Jogging; Playing, Entering or Crossing Specified Location, Standing, Working, Other Non-Motorist, 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
Rear-end collisions were the most common crash type, accounting for 2,398 incidents or 29.3% of the total. Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were also frequent, with 2,220 incidents (27.1%). Angle collisions represented another major category, with 2,081 crashes (25.4%).
Manner of Collision
"Other" combines 2 smaller categories (177 records): Backing (158), Rear-to-rear (19).
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 predominant vehicle type involved in crashes, accounting for 7,933 of the total units. Sport Utility Vehicles (SUVs) were the second most common with 3,425 units, followed by pickup trucks with 1,777 units. In total, 752 commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in collisions.
Vehicle Type
"Other" combines 16 smaller categories (555 records): Single Unit Truck (163), Motorcycle 2 Wheeled (108), Pedestrian/Skater (68), Van (9-15 Seats) (58), Bus (16+ Passengers) (53), Other Vehicle (45), Bicycle (23), Heavy Equipment (16), Motorhome (5), Farm Equipment (4), All Terrain Vehicle (ATV/UTV) (3), Golf Cart (3), Autocycle (2), Moped or Motorized Bicycle (2), Limo (Livery Vehicle) (1), Other Non-Motorist (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 19,564 people involved in crashes, the majority (14,172, or 72.4%) were drivers. Vehicle occupants, or passengers, accounted for 5,323 individuals (27.2%). A small fraction of those involved were pedestrians, totaling 69 individuals.
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 19,564 people involved in traffic incidents, 3,134 suffered an injury or were killed. This total includes 35 fatalities, 200 serious injuries, 1,367 minor injuries, and 1,532 possible injuries. The remaining 15,772 individuals were not injured.
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
Data on safety equipment usage shows that 15,878 vehicle occupants were using a shoulder and lap belt. However, 911 individuals were recorded as using no safety equipment at all. For children, 402 were in a forward-facing child restraint system and 203 were in a rear-facing system.
Occupant Safety Equipment
"Other" combines 3 smaller categories (99 records): Lap Belt Only Used (51), Helmet Used (47), Lighting - Pedestrian / Bicycle Only (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 majority of incidents, 6,040 crashes (73.7%), were two-vehicle collisions. Single-vehicle crashes accounted for 1,560 incidents, or 19.0% of the total. Multi-vehicle crashes involving three or more units were less common, though one incident involved as many as 11 vehicles.
Vehicles Per Crash
"Other" combines 1 smaller categories (1 records): 11 (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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 8,197
- Total persons involved: 19,564
- Total vehicles involved: 15,545
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