Yearly Traffic Safety Analysis

4,582 CRASHES IN
OHIO, OH
2021

In 2021, Clermont County recorded 4,582 traffic crashes, resulting in 19 fatalities and 1,485 injuries. Analysis of contributing factors indicates that 'Following too Close / ACDA' was the most frequently cited factor, involved in 1,336 incidents. The majority of crashes, 77.0%, resulted in no injuries.

4,582

Total Crash Events

19

Persons Killed

1,485

Persons Injured

9.6%

Hit-and-Run Rate

Note: "Persons Killed" (19) counts individual fatalities across all crash events. "Fatal" in the severity table below (18) 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

439

Hit-and-Run Crashes — 2021

In 2021, there were 439 hit-and-run incidents, accounting for 9.6% of all crashes in Clermont County. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

In 2021, motorists comprised the largest group of individuals killed or injured in Clermont County crashes, with 17 fatalities and 1,470 injuries. Among vulnerable road users, there were 2 pedestrian fatalities and 15 pedestrian injuries recorded. No cyclists were reported as killed or injured during this period.

2

Pedestrians Killed

17

Motorists Killed

15

Pedestrians Injured

1,470

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 occurrences in Clermont County peaked on Fridays, with 823 incidents recorded in 2021. The most frequent time for crashes was during the afternoon commute, with the hours of 4 p.m. and 5 p.m. each accounting for 382 crashes. A significant majority of incidents, 3,169 in total, 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

In 2021, the majority of crashes (77.0%) in Clermont County resulted in no injuries. Injury-related crashes accounted for 22.6% of the total, distributed among serious (1.7%), minor (13.1%), and possible injuries (7.8%). There were 18 fatal crashes, which resulted in a total of 19 fatalities, indicating at least one crash involved multiple deaths.

Severity is per crash event (most severe injury). 18 fatal crash events resulted in 19 persons killed.

Outcome by Severity (Crash Events)

Fatal18fatal crashes0.4%
Serious Injury78serious injury crashes1.7%
Minor Injury602minor injury crashes13.1%
Possible Injury358possible injury crashes7.8%
No Injury3,526no injury crashes77%

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 in Clermont County occurred in ideal driving conditions. Approximately 69.2% of crashes happened in daylight, 72.0% on dry road surfaces, and 57.1% in clear weather. Crashes in adverse weather included 656 incidents during rain and 131 during snow, while 1,118 crashes occurred on wet roads.

Weather

Clear2,615 (57.1%)
Cloudy1,137 (24.8%)
Rain656 (14.3%)
Snow131 (2.9%)
Fog; Smog; Smoke18 (0.4%)
Other/Unknown17 (0.4%)
Freezing Rain or Freezing Drizzle4 (0.1%)
Sleet; Hail3 (0.1%)
Severe Crosswinds1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight3,169 (69.2%)
Dark - Roadway Not Lighted838 (18.3%)
Dark - Lighted Roadway303 (6.6%)
Dawn/Dusk240 (5.2%)
Dark - Unknown Roadway Lighting19 (0.4%)
Other/Unknown13 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field

Road Surface

Dry3,297 (72.0%)
Wet1,118 (24.4%)
Snow112 (2.4%)
Ice32 (0.7%)
Other/Unknown9 (0.2%)
Slush6 (0.1%)
Water (Standing; Moving)5 (0.1%)
Sand; Mud; Dirt; Oil; Gravel3 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 1,721 individuals. The most common vehicle makes involved in crashes were Ford, with 1,528 vehicles, and Chevrolet, with 1,268 vehicles. These were followed by Toyota (732) and Honda (708).

Top Vehicle Makes (7,971 vehicles)

1
FORD1,528 (19.2%)
2
CHEVROLET1,268 (15.9%)
3
TOYOTA732 (9.2%)
4
HONDA708 (8.9%)
5
DODGE435 (5.5%)
6
NISSAN323 (4.1%)
7
KIA320 (4%)
8
JEEP289 (3.6%)
9
HYUNDAI268 (3.4%)
10
GMC206 (2.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

346 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (10,335 persons with recorded sex)

Male5,561 (53.8%)
Female4,774 (46.2%)

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 79.1% of crashes (3,625 incidents) occurred on the roadway. A notable portion of crashes, approximately 18.4%, were run-off-road events, with the first harmful event occurring on the roadside (682), shoulder (116), or in the median (43).

Crash Location (First Harmful Event)

"Other" combines 6 smaller categories (26 records): On ramp (12), Other/Unknown (9), On Gore (2), Toll Booth (1), Shared-use paths or trails (1), Crossover (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 associated with vehicles in crashes shows that the majority, 69.3% (5,520), occurred at locations with no traffic control devices present. Crashes at signalized intersections involved 1,878 vehicles (23.6% of the total). Locations with stop signs accounted for an additional 454 vehicles involved in crashes.

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 attributed to 1,336 vehicles. 'Failure to Yield' was the second-most frequent factor, noted for 657 vehicles, followed by 'Drove off Road' (583 vehicles) and 'Unsafe Speed' (316 vehicles).

Driver Contributing Factor

1
Following too Close / ACDA1,336 (31.3%)
2
Failure to Yield657 (15.4%)
3
Drove off Road583 (13.7%)
4
Unsafe Speed316 (7.4%)
5
Other Improper Action227 (5.3%)
6
Improper Lane Change205 (4.8%)
7
Left of Center201 (4.7%)
8
Not Discernible141 (3.3%)
9
Improper Backing135 (3.2%)

Showing top 9 of 21 reported. 12 additional (470 total) not shown: Ran Red Light, Improper Turn, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Ran Stop Sign, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Vision Obstruction, Stopped or Parked Illegally.

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 234 commercial trucks were involved in crashes in 2021. Of these, 137 were classified as 'Other Commercial Vehicle' and 97 were 'Semi-Tractor Trailer.' These heavy vehicles represent a notable category due to their size and potential crash severity.

Vulnerable Road Users & Motorcycles

In 2021, 90 crashes involved motorcyclists or vulnerable road users. Motorcyclists were involved in 62 of these incidents. A total of 28 crashes involved vulnerable road users, comprising 20 pedestrian-involved crashes and 8 bicycle-involved crashes.

Animal-Involved Crashes

Animal-related collisions accounted for 349 crashes, representing 7.6% of all incidents in 2021. The vast majority of these, 329 crashes, involved collisions with deer. An additional 20 crashes were attributed to collisions with other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 246 crashes, accounting for 5.4% of all incidents. Of these, alcohol was the sole factor in 154 crashes, drugs were the sole factor in 68 crashes, and a combination of alcohol and drugs was noted in 24 crashes. These figures represent a baseline, as impairment can be under-reported.

Driver Condition

Among the 7,799 drivers with condition data, 314 were noted as having a condition other than 'Apparently Normal.' The most frequent condition was 'Under the Influence of Medications / Drugs / Alcohol,' recorded for 225 drivers. An additional 47 drivers were reported as having fallen asleep, fainted, or being fatigued.

Driver Condition

1
Apparently Normal7,132 (91.6%)
2
Other/Unknown341 (4.4%)
3
Under the Influence of Medications / Drugs / Alcohol225 (2.9%)
4
Fell Asleep; Fainted; Fatigued; etc.47 (0.6%)
5
Physical Impairment27 (0.3%)
6
Illness12 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)3

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

Driver distraction was identified as a factor for 319 drivers. The most common forms of distraction included 'Other distraction inside the vehicle' (150 drivers) and 'Other distraction outside the vehicle' (64 drivers). Electronic device use was a factor for at least 94 drivers, including 46 who were manually operating a device like texting or dialing.

Driver Distraction

1
Not Distracted7,049 (90.9%)
2
Other/Unknown388 (5%)
3
Other distraction inside the vehicle150 (1.9%)
4
Other distraction outside the vehicle64 (0.8%)
5
Manually operating an electronic communication device (texting; typing; dialing)46 (0.6%)
6
Other activity with an electronic device41 (0.5%)
7
Passenger11 (0.1%)
8
Talking on hand-held communication device4 (0.1%)
9
Talking on hands-free communication device3

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

While most crashes (3,189) occurred on straight, level road segments, a significant number were on roads with more complex geometry. Crashes on curves accounted for 15.8% of the total (724 incidents). Additionally, 22.7% of all crashes (1,041 incidents) occurred on a grade, either straight or curved.

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 of the county. Union township had the highest number of incidents with 1,502, representing 32.8% of the county's total. Miami township followed with 920 crashes (20.1%), and Batavia township recorded 599 crashes (13.1%).

Top Cities

1
Union1,502 (32.8%)
2
Miami920 (20.1%)
3
Batavia599 (13.1%)
4
Pierce239 (5.2%)
5
Goshen238 (5.2%)
6
Milford205 (4.5%)
7
Tate142 (3.1%)
8
Williamsburg136 (3%)
9
Monroe125 (2.7%)

Showing top 9 of 24 reported. 15 additional (476 total) not shown: Stonelick, Wayne, Jackson, Loveland, Ohio, Franklin, Washington, Bethel, New Richmond, Owensville, Amelia, Newtonsville, Felicity, Neville, Chilo.

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 a collision shows that just over half of all vehicles involved (4,042, or 50.7%) were moving straight ahead. A substantial number of vehicles, 1,624 (20.4%), were slowing or stopped in traffic at the time of the crash. Making a left turn was the third most common pre-crash action, recorded for 712 vehicles.

Pre-Crash Driver Action

1
Straight Ahead4,042 (50.7%)
2
Slowing or Stopped In Traffic1,624 (20.4%)
3
Making Left Turn712 (8.9%)
4
Negotiating a Curve546 (6.8%)
5
Making Right Turn242 (3%)
6
Changing Lanes209 (2.6%)
7
Backing163 (2%)
8
Parked142 (1.8%)
9
Entering Traffic Lane93 (1.2%)

Showing top 9 of 19 reported. 10 additional (198 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Entering or Crossing Specified Location, Standing, Other Non-Motorist, 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 a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 1,604 crashes or 35.0% of the total. The second most common incident type was a rear-end collision, with 1,364 crashes, making up 29.8% of all crashes.

Manner of Collision

"Other" combines 2 smaller categories (69 records): Other/Unknown (58), Rear-to-rear (11).

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 4,023 of the 7,971 vehicles (50.5%). Sport utility vehicles and pickup trucks were also frequently involved, representing 23.3% and 14.3% of vehicles, respectively. Commercial vehicles, including trucks and buses, were involved in 3.2% of incidents.

Vehicle Type

"Other" combines 13 smaller categories (270 records): Unknown or Hit/Skip (68), Motorcycle 2 Wheeled (65), Other Vehicle (40), Bus (16+ Passengers) (38), Pedestrian/Skater (20), Van (9-15 Seats) (14), Bicycle (8), Heavy Equipment (5), Farm Equipment (4), All Terrain Vehicle (ATV/UTV) (3), Motorcycle 3 Wheeled (2), Motorhome (2), Golf Cart (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Person Type

Of the 10,677 individuals involved in traffic crashes, the majority were drivers, accounting for 7,799 people (73.0%). Vehicle occupants (passengers) represented the next largest group with 2,857 individuals (26.8%). Pedestrians were involved in a smaller number of incidents, comprising 21 of the total persons 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

A total of 10,677 people were involved in crashes, with 85.6% (9,135 individuals) reporting no injuries. In total, 1,485 individuals sustained injuries, representing 13.9% of all persons involved. Nineteen fatalities were recorded, accounting for approximately 0.2% of all individuals.

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

Among the 10,677 vehicle occupants and non-motorists recorded, 8,915 (83.5%) were reported as using a shoulder and lap belt. A total of 514 individuals, or 4.8% of all persons involved, were documented as using no safety equipment at the time of the crash. Child restraint systems were in use by 482 occupants.

Occupant Safety Equipment

"Other" combines 3 smaller categories (92 records): Shoulder Belt Only Used (59), Helmet Used (31), Lighting - Pedestrian / Bicycle Only (2).

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 crashes, 62.1% (2,847 incidents), involved two vehicles. Single-vehicle crashes were also common, accounting for 32.5% of the total (1,489 incidents). Multi-vehicle collisions involving three or more vehicles made up 5.4% of crashes, including one incident that involved nine 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 4,582
  • Total persons involved: 10,677
  • Total vehicles involved: 7,971

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

Clermont County, OH Crash Report — 2021 | ThatCarHitMe.com