Yearly Traffic Safety Analysis

29,374 CRASHES IN
OHIO, OH
2021

In 2021, Hamilton County recorded 29,374 traffic crashes, which resulted in 72 fatalities and 9,209 injuries. A significant concentration of these incidents occurred on Fridays, with the single busiest period being the 5 p.m. hour during the afternoon commute.

29,374

Total Crash Events

72

Persons Killed

9,209

Persons Injured

24.4%

Hit-and-Run Rate

Note: "Persons Killed" (72) counts individual fatalities across all crash events. "Fatal" in the severity table below (65) 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

7,181

Hit-and-Run Crashes — 2021

Based on the initial determination of responding officers, 7,181 crashes in Hamilton County during 2021 were classified as hit-and-runs. These incidents accounted for 24.4% of all reported crashes in the county for the year.

Vulnerable Road User Casualties

In 2021, 55 motorists were killed and 8,868 were injured in Hamilton County crashes. Pedestrians were also significantly impacted, with 17 killed and 341 injured. According to the provided data, no cyclists were killed or injured during this period.

17

Pedestrians Killed

55

Motorists Killed

341

Pedestrians Injured

8,868

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 Hamilton County show distinct daily and weekly peaks. Fridays were the most frequent day for crashes, with 5,050 incidents, while the afternoon commute, particularly the 5 p.m. hour, was the busiest time of day with 2,516 crashes. Overall, the majority of collisions, 19,694 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

The majority of crashes in 2021 did not result in injury, with 77.4% (22,724) classified as property-damage-only. Injury-related crashes, including serious, minor, and possible injuries, accounted for the remaining incidents. A total of 65 crashes were fatal, leading to 72 fatalities, indicating that some incidents involved more than one death.

Severity is per crash event (most severe injury). 65 fatal crash events resulted in 72 persons killed.

Outcome by Severity (Crash Events)

Fatal65fatal crashes0.2%
Serious Injury420serious injury crashes1.4%
Minor Injury3,172minor injury crashes10.8%
Possible Injury2,993possible injury crashes10.2%
No Injury22,724no injury crashes77.4%

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 vast majority of crashes occurred in ideal driving conditions. Specifically, 64.2% of crashes happened in clear weather (18,863), 75.4% on dry road surfaces (22,149), and 67.0% during daylight hours (19,694). Crashes in adverse weather included 3,808 in rain and 750 in snow.

Weather

Clear18,863 (64.2%)
Cloudy5,561 (18.9%)
Rain3,808 (13.0%)
Snow750 (2.6%)
Other/Unknown270 (0.9%)
Fog; Smog; Smoke46 (0.2%)
Sleet; Hail43 (0.1%)
Freezing Rain or Freezing Drizzle26 (0.1%)
Severe Crosswinds5 (0.0%)
Blowing Sand; Soil; Dirt; Snow2 (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

Daylight19,694 (67.0%)
Dark - Lighted Roadway6,602 (22.5%)
Dark - Roadway Not Lighted1,353 (4.6%)
Dawn/Dusk1,274 (4.3%)
Other/Unknown278 (0.9%)
Dark - Unknown Roadway Lighting173 (0.6%)

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

Road Surface

Dry22,149 (75.4%)
Wet6,139 (20.9%)
Snow631 (2.1%)
Ice201 (0.7%)
Other/Unknown190 (0.6%)
Slush43 (0.1%)
Water (Standing; Moving)16 (0.1%)
Sand; Mud; Dirt; Oil; Gravel5 (0.0%)

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 11,213 individuals, followed by the 35-44 age group with 9,228. Among the 57,205 vehicles involved, the most frequent makes were Ford (7,329), Chevrolet (7,196), and Honda (5,947).

Top Vehicle Makes (57,205 vehicles)

1
FORD7,329 (12.8%)
2
CHEVROLET7,196 (12.6%)
3
HONDA5,947 (10.4%)
4
TOYOTA5,927 (10.4%)
5
NISSAN3,501 (6.1%)
6
HYUNDAI2,536 (4.4%)
7
DODGE2,193 (3.8%)
8
KIA2,173 (3.8%)
9
JEEP1,531 (2.7%)
10
MAZDA1,206 (2.1%)

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

6,252 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (56,015 persons with recorded sex)

Male30,461 (54.4%)
Female25,554 (45.6%)

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 initial harmful event in the vast majority of crashes, 26,240 incidents, occurred on the roadway itself. A notable portion, totaling 2,540 crashes (8.6%), were classified as run-off-road events, with the first impact happening on the roadside, shoulder, outside the trafficway, or in the median.

Crash Location (First Harmful Event)

"Other" combines 7 smaller categories (213 records): In Median (108), Driveway/Alley access (79), On Gore (18), Crossover (3), Railway grade crossing (2), Shared-use paths or trails (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 indicates that the majority of vehicles involved, 38,067, were in areas with no traffic control device present. A significant number of vehicles, 14,525, were involved in crashes at locations with a traffic signal, while 2,504 were at stop signs.

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 commonly cited contributing factor for drivers was 'Following too Close / ACDA,' attributed to 7,511 vehicles. Other significant factors included 'Failure to Yield' (3,468 vehicles), 'Improper Lane Change' (2,726 vehicles), and 'Drove off Road' (1,546 vehicles).

Driver Contributing Factor

1
Following too Close / ACDA7,511 (26.3%)
2
Other Improper Action5,145 (18%)
3
Failure to Yield3,468 (12.1%)
4
Improper Lane Change2,726 (9.5%)
5
Drove off Road1,546 (5.4%)
6
Improper Turn1,415 (5%)
7
Ran Red Light1,175 (4.1%)
8
Improper Backing1,108 (3.9%)
9
Unsafe Speed835 (2.9%)

Showing top 9 of 23 reported. 14 additional (3,656 total) not shown: Left of Center, Not Discernible, Improper Passing, Swerving to Avoid, Ran Stop Sign, Operating Defective Equipment, Improper Start From a Parked Position, Improper Crossing, Wrong Way, Load shifting/Falling/Spilling, Vision Obstruction, 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 2,570 commercial trucks were involved in crashes during this period. Of these, 975 were identified as semi-tractor trailers, while the remaining 1,595 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users and motorcyclists included 363 incidents with pedestrians, 224 with motorcyclists, and 68 with bicyclists. Combined, crashes involving pedestrians and bicyclists totaled 431, representing 1.5% of all crashes.

Animal-Involved Crashes

A total of 311 crashes involved collisions with animals, representing 1.1% of all crashes in the county. The vast majority of these, 290 incidents, were strikes involving deer.

Impairment (Alcohol / Drugs)

Impairment was a factor in 952 crashes, or 3.2% of the total. Among the drivers involved in these incidents where impairment was specified, alcohol was suspected in 730 cases, drugs in 160 cases, and a combination of alcohol and drugs in 62 cases.

Driver Condition

Beyond impairment, other non-normal driver conditions were noted for a fraction of drivers. These included emotional states like anger or distress (293 drivers), physical impairments (238 drivers), and fatigue or falling asleep (193 drivers).

Driver Condition

1
Apparently Normal44,018 (89.6%)
2
Other/Unknown3,504 (7.1%)
3
Under the Influence of Medications / Drugs / Alcohol788 (1.6%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)293 (0.6%)
5
Physical Impairment238 (0.5%)
6
Fell Asleep; Fainted; Fatigued; etc.193 (0.4%)
7
Illness94 (0.2%)

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 recorded, the most common issues were general distractions inside the vehicle (490 drivers) or outside the vehicle (488 drivers). Electronic device use was specifically cited for 376 drivers, including 160 who were manually operating a device and 52 talking on a hand-held device.

Driver Distraction

1
Not Distracted43,376 (84.7%)
2
Other/Unknown6,411 (12.5%)
3
Other distraction inside the vehicle490 (1%)
4
Other distraction outside the vehicle488 (1%)
5
Other activity with an electronic device164 (0.3%)
6
Manually operating an electronic communication device (texting; typing; dialing)160 (0.3%)
7
Passenger73 (0.1%)
8
Talking on hand-held communication device52 (0.1%)
9
Talking on hands-free communication device14

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 occurred on straight and level roads (19,581), a notable number happened on sloped or curved sections. Crashes on grades accounted for 8,365 incidents (28.5% of the total), and crashes on curves accounted for 3,369 incidents (11.5% of the total).

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 within Hamilton County is highly concentrated in the City of Cincinnati, which saw 15,647 incidents, or 53.3% of the county's total. Following Cincinnati were Colerain Township with 1,656 crashes (5.6%) and Green Township with 1,497 crashes (5.1%).

Top Cities

1
Cincinnati15,647 (53.3%)
2
Colerain1,656 (5.6%)
3
Green1,497 (5.1%)
4
Springfield937 (3.2%)
5
Sharonville851 (2.9%)
6
Anderson788 (2.7%)
7
Springdale610 (2.1%)
8
Sycamore608 (2.1%)
9
Forest Park577 (2%)

Showing top 9 of 50 reported. 41 additional (6,202 total) not shown: Norwood, Symmes, Blue Ash, Montgomery, Reading, Delhi, North College Hill, Harrison, Evendale, Whitewater, Mount Healthy, Cheviot, Columbia, Lockland, St. Bernard, Silverton, Woodlawn, Wyoming, The Village Of Indian Hill, Madeira, Amberley, Miami, Loveland, Deer Park, Fairfax, Glendale, Greenhills, Cleves, Newtown, Lincoln Heights, Addyston, Crosby, Arlington Heights, Elmwood Place, Mariemont, Golf Manor, North Bend, Terrace Park, Milford, Hamilton, Finneytown.

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 pre-crash action for vehicles was driving straight ahead, which was reported for 28,156 vehicles (49.2% of all involved). The next most frequent actions were slowing or being stopped in traffic (8,542 vehicles) and being parked (4,725 vehicles).

Pre-Crash Driver Action

1
Straight Ahead28,156 (49.2%)
2
Slowing or Stopped In Traffic8,542 (14.9%)
3
Parked4,725 (8.3%)
4
Making Left Turn4,459 (7.8%)
5
Changing Lanes2,786 (4.9%)
6
Other/Unknown1,837 (3.2%)
7
Making Right Turn1,781 (3.1%)
8
Backing1,363 (2.4%)
9
Negotiating a Curve1,170 (2%)

Showing top 9 of 21 reported. 12 additional (2,386 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Making U-Turn, Driverless, Entering or Crossing Specified Location, Other Non-Motorist, Standing, Working, Approaching or Leaving Vehicle, Standing Outside Disabled 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 in Hamilton County, accounting for 8,041 incidents or 27.4% of the total. Angle collisions were the second most frequent type at 7,519 (25.6%), followed by crashes not involving another vehicle in transport, which numbered 6,451 (22.0%).

Manner of Collision

"Other" combines 2 smaller categories (707 records): Other/Unknown (612), Rear-to-rear (95).

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 prevalent vehicle type involved in crashes, accounting for 34,762 units (60.8% of the total). Sport Utility Vehicles (10,853 units) and Pick up trucks (4,105 units) were also frequently involved. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, comprised 3.8% of all vehicles in crashes.

Vehicle Type

"Other" combines 17 smaller categories (2,320 records): Single Unit Truck (742), Bus (16+ Passengers) (394), Pedestrian/Skater (367), Other Vehicle (260), Motorcycle 2 Wheeled (222), Van (9-15 Seats) (143), Heavy Equipment (79), Bicycle (68), Wheelchair (Any type) (9), Motorcycle 3 Wheeled (8), Moped or Motorized Bicycle (8), Motorhome (7), All Terrain Vehicle (ATV/UTV) (5), Train (3), Autocycle (2), Farm Equipment (2), Animal with Rider or Animal Drawn Vehicle (1).

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

Person Type

The overwhelming majority of individuals involved in crashes were drivers, accounting for 51,959 people or 84.6% of the total. Vehicle occupants (passengers) made up another 14.8% (9,066 people), while pedestrians accounted for 377 individuals (0.6%).

Person Type

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

Person Injury Severity

Of the 61,402 people involved in traffic crashes, 72 sustained fatal injuries (0.12%). A total of 9,209 individuals, or 15.0% of all persons involved, sustained some level of injury, ranging from possible to serious, while the majority (51,365) 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

Among vehicle occupants for whom safety equipment use was recorded, 2,145 individuals were reported as not using any restraints. The most commonly used equipment was a shoulder and lap belt, reported for 47,914 individuals. Child restraint systems, including forward-facing, rear-facing, and booster seats, were used by a combined 1,277 children.

Occupant Safety Equipment

"Other" combines 5 smaller categories (333 records): Booster Seat (229), Helmet Used (98), Lighting - Pedestrian / Bicycle Only (3), Protective Pads Used (Elbow; knees; etc.) (2), 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 most common incident involved two vehicles, which accounted for 22,877 crashes or 77.9% of the total. Single-vehicle crashes were the next most frequent, with 4,259 incidents (14.5%). Crashes involving three or more vehicles represented 7.6% of all incidents.

Vehicles Per Crash

"Other" combines 2 smaller categories (4 records): 7 (3), 9 (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: 29,374
  • Total persons involved: 61,402
  • Total vehicles involved: 57,205

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

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