Monthly Traffic Safety Analysis

19,931 CRASHES IN
OHIO, OH
JANUARY 2021

In January 2021, Ohio recorded 19,931 traffic crashes, resulting in 108 fatalities and 6,857 injuries. A notable finding from the data is that the most frequent type of incident, accounting for 39.4% of all crashes, was not a collision between two vehicles in transport, a category that includes single-vehicle events like running off the road or striking a fixed object.

19,931

Total Crash Events

108

Persons Killed

6,857

Persons Injured

19.5%

Hit-and-Run Rate

Note: "Persons Killed" (108) counts individual fatalities across all crash events. "Fatal" in the severity table below (97) 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 2021-01-31 · Aggregate counts from crash, person, and vehicle records

3,883

Hit-and-Run Crashes — January 2021

In this period, 3,883 crashes, or 19.5% of the total, were classified as hit-and-run incidents. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In January 2021, motorists accounted for the largest number of casualties, with 85 fatalities and 6,718 injuries. Pedestrians represented a significant portion of fatalities, with 23 individuals killed and 139 injured in crashes. The data reported no cyclist fatalities or injuries during this period.

23

Pedestrians Killed

85

Motorists Killed

139

Pedestrians Injured

6,718

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequency varied significantly by time of day and week. The data shows a peak on Fridays, which recorded 3,591 incidents. The single busiest hour for crashes was the 6 p.m. hour, with 1,589 events. Crashes were distributed throughout the 24-hour cycle, with 9,509 (47.7%) occurring in daylight and 9,022 (45.3%) occurring in dark conditions.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes, 75.3% (15,013 incidents), resulted in no injuries. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 24.2% of the total. There were 97 distinct fatal crashes during this period, which resulted in a total of 108 fatalities, indicating some crashes involved multiple deaths.

Severity is per crash event (most severe injury). 97 fatal crash events resulted in 108 persons killed.

Outcome by Severity (Crash Events)

Fatal97fatal crashes0.5%
Serious Injury382serious injury crashes1.9%
Minor Injury2,374minor injury crashes11.9%
Possible Injury2,065possible injury crashes10.4%
No Injury15,013no injury crashes75.3%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Most severe injury per crash record

Road & Environmental Conditions

A significant portion of crashes occurred in seemingly favorable conditions, with 42.1% (8,385) happening in clear weather and 59.6% (11,888) on dry road surfaces. Crashes during daylight hours accounted for 47.7% (9,509) of the total. Conversely, adverse conditions were also prevalent, with 24.1% of crashes occurring in rain, snow, or sleet, and 39.2% on roads that were wet, snowy, or icy.

Weather

Clear8,385 (42.1%)
Cloudy6,400 (32.1%)
Snow3,094 (15.5%)
Rain1,284 (6.4%)
Freezing Rain or Freezing Drizzle275 (1.4%)
Other/Unknown270 (1.4%)
Sleet; Hail154 (0.8%)
Fog; Smog; Smoke53 (0.3%)
Blowing Sand; Soil; Dirt; Snow15 (0.1%)
Severe Crosswinds1 (0.0%)

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

Lighting

Daylight9,509 (47.7%)
Dark - Lighted Roadway5,121 (25.7%)
Dark - Roadway Not Lighted3,785 (19.0%)
Dawn/Dusk1,191 (6.0%)
Other/Unknown209 (1.0%)
Dark - Unknown Roadway Lighting116 (0.6%)

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

Road Surface

Dry11,888 (59.6%)
Wet4,464 (22.4%)
Snow2,003 (10.0%)
Ice1,223 (6.1%)
Other/Unknown195 (1.0%)
Slush130 (0.7%)
Water (Standing; Moving)17 (0.1%)
Sand; Mud; Dirt; Oil; Gravel11 (0.1%)

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

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 6,914 individuals. Among the 34,274 vehicles involved, Chevrolet was the most frequent make with 5,271 vehicles recorded. Ford followed with 5,048 vehicles, and Honda was third with 2,854 vehicles.

Top Vehicle Makes (34,274 vehicles)

1
CHEVROLET5,271 (15.4%)
2
FORD5,048 (14.7%)
3
HONDA2,854 (8.3%)
4
TOYOTA2,470 (7.2%)
5
DODGE2,010 (5.9%)
6
NISSAN1,477 (4.3%)
7
JEEP1,383 (4%)
8
HYUNDAI1,276 (3.7%)
9
KIA1,253 (3.7%)
10
GMC900 (2.6%)

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

3,452 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (38,804 persons with recorded sex)

Male21,782 (56.1%)
Female17,022 (43.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The initial harmful event in most crashes, 15,617 incidents, occurred on the roadway itself. A notable 3,328 crashes, representing 16.7% of the total, were classified as run-off-road events where the first harmful event happened on the roadside, shoulder, or in the median.

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (198 records): Driveway/Alley access (90), On ramp (64), On Gore (16), Crossover (9), Shared-use paths or trails (8), Railway grade crossing (6), Toll Booth (4), Bike Lane (1).

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

Traffic Control Device

Analysis of traffic controls present at crash locations shows that the majority of vehicles involved, 22,445, were in areas with no traffic control device. For comparison, 8,668 vehicles were involved in crashes at locations with a traffic signal, and 2,406 were at locations with a stop sign.

Traffic Control Device

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

Driver Contributing Factor

Among contributing factors cited for drivers, 'Following too Close / ACDA' was the most common, attributed to 3,684 vehicles. 'Failure to Yield' was the next most frequent factor with 2,460 instances, followed by 'Drove off Road' (2,384) and 'Unsafe Speed' (1,563).

Driver Contributing Factor

1
Following too Close / ACDA3,684 (20.1%)
2
Other Improper Action2,763 (15.1%)
3
Failure to Yield2,460 (13.5%)
4
Drove off Road2,384 (13%)
5
Unsafe Speed1,563 (8.5%)
6
Improper Lane Change937 (5.1%)
7
Ran Red Light657 (3.6%)
8
Not Discernible625 (3.4%)
9
Left of Center612 (3.3%)

Showing top 9 of 23 reported. 14 additional (2,598 total) not shown: Improper Turn, Improper Backing, Ran Stop Sign, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, 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 2021-01-31 · Vehicle unit records

Commercial / Truck Involvement

A total of 1,375 crashes, representing 6.9% of all incidents, involved a commercial vehicle. Of these, 810 crashes involved a semi-tractor trailer, while 565 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users included 172 incidents with pedestrians and 28 with bicyclists. Combined, these 200 crashes represent 1.0% of all incidents. Additionally, 23 crashes involved a motorcyclist.

Animal-Involved Crashes

There were 1,379 crashes involving animals, accounting for 6.9% of all reported incidents. The vast majority of these, 1,284 crashes, were collisions with deer, while 95 involved other animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 1,128 crashes, or 5.7% of the total. Among these, alcohol was cited in 761 cases, drugs in 240 cases, and a combination of alcohol and drugs in 127 cases.

Driver Condition

While most drivers were listed as 'Apparently Normal,' specific conditions were noted for 1,497 drivers. 'Under the Influence of Medications / Drugs / Alcohol' was the most cited condition, affecting 955 drivers. Other reported conditions included fatigue or falling asleep (172 drivers), physical impairment (165 drivers), and emotional distress (122 drivers).

Driver Condition

1
Apparently Normal26,679 (87.2%)
2
Other/Unknown2,424 (7.9%)
3
Under the Influence of Medications / Drugs / Alcohol955 (3.1%)
4
Fell Asleep; Fainted; Fatigued; etc.172 (0.6%)
5
Physical Impairment165 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)122 (0.4%)
7
Illness83 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events

Driver Distraction

Among the 31,611 drivers with data, a specific distraction was identified for 1,125 individuals. The most common citation was 'Other distraction inside the vehicle' with 473 instances, followed by 'Other distraction outside the vehicle' with 284. Electronic devices were a factor, with 136 drivers manually operating a device and 129 engaged in other electronic device activity.

Driver Distraction

1
Not Distracted26,394 (87.3%)
2
Other/Unknown2,730 (9%)
3
Other distraction inside the vehicle473 (1.6%)
4
Other distraction outside the vehicle284 (0.9%)
5
Manually operating an electronic communication device (texting; typing; dialing)136 (0.4%)
6
Other activity with an electronic device129 (0.4%)
7
Passenger57 (0.2%)
8
Talking on hand-held communication device34 (0.1%)
9
Talking on hands-free communication device12

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events

Road Alignment

The road geometry was a straight and level surface for 14,452 crashes. However, a notable number of incidents occurred on non-level or curved roads. Crashes on grades (both straight and curved) accounted for 4,217 incidents (21.2% of the total), while crashes on curves (both level and graded) accounted for 2,377 incidents (11.9%).

Road Alignment

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

Top Cities

The geographic distribution of crashes was concentrated in major urban areas. Cincinnati had the highest volume with 1,176 crashes, followed by Cleveland with 1,040 and Columbus with 1,024. Together, these three cities accounted for 16.3% of all crashes statewide during this period.

Top Cities

1
Cincinnati1,176 (12.1%)
2
Cleveland1,040 (10.7%)
3
Columbus1,024 (10.6%)
4
Toledo753 (7.8%)
5
Akron463 (4.8%)
6
Dayton318 (3.3%)
7
Union (Township Of)265 (2.7%)
8
Springfield (Township Of)235 (2.4%)
9
Jackson (Township Of)223 (2.3%)

Showing top 9 of 50 reported. 41 additional (4,191 total) not shown: Canton, Liberty (Township Of), Washington (Township Of), Green (Township Of), Springfield, Perry (Township Of), Hamilton, Jefferson (Township Of), Harrison (Township Of), Miami (Township Of), West Chester (Township Of) Aka Union Township, Youngstown, Colerain (Township Of), Franklin (Township Of), Madison (Township Of), Elyria, Mansfield, Lima, Zanesville, Mentor, Fairfield, Lorain, Lancaster, Beavercreek, Cuyahoga Falls, Boardman (Township Of), Newark, Monroe (Township Of), Concord (Township Of), Sylvania (Township Of), Pleasant (Township Of), Green, Richland (Township Of), Marion (Township Of), Middletown, Parma, Marion, Salem (Township Of), Huber Heights, Findlay, Lakewood.

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

Pre-Crash Driver Action

The most common action by vehicles immediately prior to a crash was driving 'Straight Ahead,' which was the case for 18,427 vehicles. The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' recorded for 4,421 vehicles. 'Making Left Turn' was the third most common action, involving 2,818 vehicles.

Pre-Crash Driver Action

1
Straight Ahead18,427 (53.8%)
2
Slowing or Stopped In Traffic4,421 (12.9%)
3
Making Left Turn2,818 (8.2%)
4
Parked2,135 (6.2%)
5
Negotiating a Curve1,334 (3.9%)
6
Making Right Turn1,114 (3.3%)
7
Other/Unknown1,012 (3%)
8
Changing Lanes957 (2.8%)
9
Backing715 (2.1%)

Showing top 9 of 21 reported. 12 additional (1,341 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Entering or Crossing Specified Location, Other Non-Motorist, Standing, Working, Standing Outside Disabled Vehicle, Approaching or Leaving Vehicle.

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

Manner of Collision

The most frequent crash type was 'Not Collision Between Two Vehicles in Transport,' which accounted for 7,850 incidents, or 39.4% of the total. Among crashes involving multiple vehicles, angle collisions were most common (4,382 crashes, 22.0%), followed closely by rear-end collisions (4,036 crashes, 20.2%).

Manner of Collision

"Other" combines 2 smaller categories (462 records): Backing (415), Rear-to-rear (47).

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

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 17,714 of the 34,274 vehicles (51.7%). Sport Utility Vehicles (7,835) and Pick up trucks (3,866) were also frequently involved. Commercial vehicles, including semi-tractors, single unit trucks, and buses, comprised 5.3% of all vehicles in crashes.

Vehicle Type

"Other" combines 19 smaller categories (1,051 records): Single Unit Truck (355), Pedestrian/Skater (174), Other Vehicle (145), Bus (16+ Passengers) (129), Van (9-15 Seats) (101), Heavy Equipment (42), Bicycle (28), Motorcycle 2 Wheeled (23), Animal with Rider or Animal Drawn Vehicle (15), All Terrain Vehicle (ATV/UTV) (11), Motorhome (7), Farm Equipment (5), Golf Cart (4), Autocycle (4), Wheelchair (Any type) (2), Moped or Motorized Bicycle (2), Train (2), Limo (Livery Vehicle) (1), Motorcycle 3 Wheeled (1).

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

Person Type

Of the 41,565 individuals involved in crashes, the majority (31,611, or 76.1%) were drivers. Vehicle occupants, or passengers, accounted for 9,777 individuals (23.5%). Pedestrians made up 0.4% of the total persons involved, with 177 individuals recorded.

Person Type

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

Person Injury Severity

Across all 41,565 people involved in crashes, a total of 6,857 individuals sustained some level of injury, representing 16.5% of all participants. Fatal injuries were recorded for 108 individuals, accounting for 0.26% of all persons involved. The vast majority, 33,164 people, were not injured.

Person Injury Severity

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

Occupant Safety Equipment

Among vehicle occupants for whom safety equipment use was recorded, 1,849 individuals (4.5%) were documented as using no restraint system at all. The most common status was 'Shoulder and Lap Belt Used,' reported for 32,667 people. Child restraint systems, including forward-facing, rear-facing, and booster seats, were used by a combined 1,327 occupants.

Occupant Safety Equipment

"Other" combines 5 smaller categories (207 records): Lap Belt Only Used (192), Helmet Used (12), Protective Pads Used (Elbow; knees; etc.) (1), Lighting - Pedestrian / Bicycle Only (1), Reflective Clothing (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events

Vehicles Per Crash

The data shows that most incidents were two-vehicle crashes, accounting for 12,066 events or 60.5% of the total. Single-vehicle crashes were also common, with 6,832 incidents making up 34.3% of all crashes. Multi-vehicle pile-ups involving three or more vehicles were less frequent, with the largest pile-ups in this period involving 9 vehicles.

Vehicles Per Crash

"Other" combines 1 smaller categories (3 records): 9 (3).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · 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 2021-01-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-01-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 19,931
  • Total persons involved: 41,565
  • Total vehicles involved: 34,274

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: January 2021." Published July 5, 2026. Reporting period: 2021-01-01 to 2021-01-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/january-2021-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

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Ohio (Statewide) Crash Report — January 2021 | ThatCarHitMe.com