Monthly Traffic Safety Analysis

19,520 CRASHES IN
OHIO, OH
MARCH 2021

In March 2021, Ohio recorded 19,520 total traffic crashes, resulting in 102 fatalities and 7,414 injuries. The most frequent collision types were angle crashes, accounting for 23.8% of incidents, and rear-end collisions, which made up 23.5% of the total. A significant majority of crashes, nearly 73%, resulted in no reported injuries.

19,520

Total Crash Events

102

Persons Killed

7,414

Persons Injured

19.9%

Hit-and-Run Rate

Note: "Persons Killed" (102) counts individual fatalities across all crash events. "Fatal" in the severity table below (86) 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 · 2021-03-01 to 2021-03-31 · Aggregate counts from crash, person, and vehicle records

3,886

Hit-and-Run Crashes — March 2021

During this period, 3,886 crashes were classified as hit-and-run incidents, representing 19.9% of all crashes. This designation is based on the responding officer's initial report that a driver involved in the crash left the scene. These figures reflect the preliminary determination made at the time of the incident.

Vulnerable Road User Casualties

Of the 102 total fatalities, 91 were motorists, and 11 were pedestrians. Among the 7,414 people injured, 7,234 were motorists and 180 were pedestrians. No cyclists were killed or injured in crashes during this period. Motorists comprised the largest group for both fatalities and injuries.

11

Pedestrians Killed

91

Motorists Killed

180

Pedestrians Injured

7,234

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequency peaked midweek, with Wednesday recording the highest number of incidents at 3,322. The single busiest hour for crashes was from 3 p.m. to 4 p.m., which saw 1,665 events. Overall, crashes were most common during daylight hours, which accounted for 12,768 incidents, more than double the 5,535 crashes that occurred in dark conditions.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The vast majority of crashes (72.9%) resulted in no injuries, involving only property damage. Injury-related crashes accounted for 26.7% of the total, broken down into serious injuries (2.6%), minor injuries (13.1%), and possible injuries (11.0%). There were 86 fatal crashes, which resulted in a total of 102 fatalities, indicating some crashes involved more than one death.

Severity is per crash event (most severe injury). 86 fatal crash events resulted in 102 persons killed.

Outcome by Severity (Crash Events)

Fatal86fatal crashes0.4%
Serious Injury503serious injury crashes2.6%
Minor Injury2,555minor injury crashes13.1%
Possible Injury2,155possible injury crashes11%
No Injury14,221no injury crashes72.9%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Most severe injury per crash record

Road & Environmental Conditions

A substantial majority of crashes occurred under ideal driving conditions. Approximately 65.4% of incidents happened in daylight, 87.9% on dry road surfaces, and 72.3% in clear weather. Crashes during adverse weather were less frequent, with 1,406 incidents reported during rain and 32 during snow.

Weather

Clear14,107 (72.3%)
Cloudy3,622 (18.6%)
Rain1,406 (7.2%)
Other/Unknown182 (0.9%)
Fog; Smog; Smoke72 (0.4%)
Severe Crosswinds71 (0.4%)
Snow32 (0.2%)
Freezing Rain or Freezing Drizzle18 (0.1%)
Sleet; Hail9 (0.0%)
Blowing Sand; Soil; Dirt; Snow1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Weather condition at time of crash

Lighting

Daylight12,768 (65.4%)
Dark - Lighted Roadway3,212 (16.5%)
Dark - Roadway Not Lighted2,323 (11.9%)
Dawn/Dusk972 (5.0%)
Other/Unknown177 (0.9%)
Dark - Unknown Roadway Lighting68 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Lighting condition field

Road Surface

Dry17,162 (87.9%)
Wet2,128 (10.9%)
Other/Unknown124 (0.6%)
Ice52 (0.3%)
Snow20 (0.1%)
Sand; Mud; Dirt; Oil; Gravel18 (0.1%)
Water (Standing; Moving)13 (0.1%)
Slush3 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Road surface condition field

Vehicles & Demographics

Among all individuals involved in crashes, the 26-34 age group was the most represented, with 7,104 persons recorded. Analysis of the 35,273 vehicles involved shows that Chevrolet was the most frequent make, with 5,370 vehicles, followed by Ford with 5,123 and Honda with 2,943. Passenger cars were the most common vehicle type involved in crashes.

Top Vehicle Makes (35,273 vehicles)

1
CHEVROLET5,370 (15.2%)
2
FORD5,123 (14.5%)
3
HONDA2,943 (8.3%)
4
TOYOTA2,425 (6.9%)
5
DODGE1,940 (5.5%)
6
NISSAN1,544 (4.4%)
7
HYUNDAI1,331 (3.8%)
8
KIA1,329 (3.8%)
9
JEEP1,320 (3.7%)
10
GMC948 (2.7%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

3,508 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (40,725 persons with recorded sex)

Male22,250 (54.6%)
Female18,475 (45.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The vast majority of crashes, 16,191 incidents, occurred on the primary roadway. However, a notable number of crashes involved a vehicle leaving the travel lanes as the first harmful event. These run-off-road incidents included 1,593 crashes on the roadside, 682 on the shoulder, and 121 in the median, collectively accounting for 12.3% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 7 smaller categories (166 records): Driveway/Alley access (67), On ramp (63), Crossover (10), Toll Booth (8), On Gore (8), Railway grade crossing (5), Shared-use paths or trails (5).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Traffic Control Device

Among the 35,039 traffic control devices noted for vehicles in crashes, the most common situation was 'No Control,' recorded for 22,558 units. Signalized intersections were the next most frequent location, with 9,428 units involved in crashes at traffic signals. Crashes at stop signs involved 2,562 units.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

Driver Contributing Factor

Analysis of driver actions shows that 'Following too Close / ACDA' was the most cited contributing factor, attributed to 4,236 drivers. 'Failure to Yield' was the second most common factor with 2,869 instances, followed by 'Drove off Road' which was noted for 1,871 drivers. These three factors represent the most frequent improper driver actions leading to crashes.

Driver Contributing Factor

1
Following too Close / ACDA4,236 (23.4%)
2
Failure to Yield2,869 (15.8%)
3
Other Improper Action2,527 (13.9%)
4
Drove off Road1,871 (10.3%)
5
Improper Lane Change1,198 (6.6%)
6
Ran Red Light723 (4%)
7
Improper Backing710 (3.9%)
8
Unsafe Speed616 (3.4%)
9
Improper Turn616 (3.4%)

Showing top 9 of 23 reported. 14 additional (2,757 total) not shown: Not Discernible, Left of Center, Ran Stop Sign, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, 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 · 2021-03-01 to 2021-03-31 · Vehicle unit records

Commercial / Truck Involvement

Crashes involved 1,526 commercial trucks, a category with high-severity potential. Of these, 870 were semi-tractor-trailers, while the remaining 656 were classified as other types of commercial vehicles. These incidents represent a significant portion of truck-related traffic events for the month.

Vulnerable Road Users & Motorcycles

A total of 558 crashes involved either a vulnerable road user or a motorcyclist. Motorcyclists were the largest group with 286 involvements. Combined, pedestrians and bicyclists, classified as vulnerable road users, were involved in 272 crashes (190 pedestrians and 82 bicyclists).

Animal-Involved Crashes

Crashes involving animals accounted for 1,232 incidents, or 6.3% of all crashes in this period. The vast majority of these were strikes with deer, which were involved in 1,124 crashes. An additional 108 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 1,231 crashes, representing 6.3% of the total. Alcohol was the most frequently cited substance, involved in 837 incidents. An additional 247 crashes involved drugs, and 147 crashes involved a combination of both alcohol and drugs.

Driver Condition

Excluding drivers listed as 'Apparently Normal,' several adverse conditions were noted. A total of 1,007 drivers were identified as being under the influence of medications, drugs, or alcohol. Other notable conditions included 207 drivers who fell asleep or were fatigued, 185 with a physical impairment, and 152 who were reported as being emotional (e.g., angry, depressed).

Driver Condition

1
Apparently Normal27,600 (87.3%)
2
Other/Unknown2,378 (7.5%)
3
Under the Influence of Medications / Drugs / Alcohol1,007 (3.2%)
4
Fell Asleep; Fainted; Fatigued; etc.207 (0.7%)
5
Physical Impairment185 (0.6%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)152 (0.5%)
7
Illness99 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Driver Distraction

Among the 31,173 drivers with a known distraction status, several specific distractions were identified. Electronic devices were a notable factor, with 187 drivers manually operating a device, 147 engaged in other electronic device activity, and 39 talking on a hand-held phone. Other distractions included 547 drivers distracted by something inside the vehicle and 383 by something outside the vehicle.

Driver Distraction

1
Not Distracted27,147 (86.7%)
2
Other/Unknown2,794 (8.9%)
3
Other distraction inside the vehicle547 (1.7%)
4
Other distraction outside the vehicle383 (1.2%)
5
Manually operating an electronic communication device (texting; typing; dialing)187 (0.6%)
6
Other activity with an electronic device147 (0.5%)
7
Passenger67 (0.2%)
8
Talking on hand-held communication device39 (0.1%)
9
Talking on hands-free communication device13

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Road Alignment

The roadway geometry was straight and level for 14,946 crashes, representing the majority of incidents. However, road alignment involving a curve or grade was a factor in a significant number of crashes. A total of 1,744 crashes (8.9%) occurred on a curve, while 3,589 crashes (18.4%) occurred on a grade.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Top Cities

The geographic distribution of crashes was heavily concentrated in Ohio's major metropolitan areas. The top three cities—Cincinnati (1,171), Columbus (1,137), and Cleveland (1,097)—collectively accounted for 3,405 crashes, representing 17.4% of the statewide total. Union Township (224) and Springfield Township (221) were the next highest municipalities.

Top Cities

1
Cincinnati1,171 (12.1%)
2
Columbus1,137 (11.8%)
3
Cleveland1,097 (11.4%)
4
Toledo658 (6.8%)
5
Akron508 (5.3%)
6
Dayton368 (3.8%)
7
Union (Township Of)224 (2.3%)
8
Springfield (Township Of)221 (2.3%)
9
Jackson (Township Of)216 (2.2%)

Showing top 9 of 50 reported. 41 additional (4,048 total) not shown: Canton, Youngstown, Springfield, Green (Township Of), Liberty (Township Of), Hamilton, Washington (Township Of), Harrison (Township Of), Colerain (Township Of), Perry (Township Of), Miami (Township Of), West Chester (Township Of) Aka Union Township, Franklin (Township Of), Mansfield, Elyria, Boardman (Township Of), Zanesville, Lima, Lancaster, Fairfield, Madison (Township Of), Findlay, Mentor, Jefferson (Township Of), Middletown, Newark, Cuyahoga Falls, Lorain, Huber Heights, Garfield Heights, Monroe (Township Of), Marion, Massillon, Warren, Grove City, Euclid, Beavercreek, Plain (Township Of), Lakewood, Clinton (Township Of), Reynoldsburg.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Pre-Crash Driver Action

Analysis of what vehicles were doing just before a crash shows that moving 'Straight Ahead' was the most common action, reported for 18,729 vehicles, or 53.1% of all units with a known pre-crash maneuver. The next most frequent action was 'Slowing or Stopped In Traffic,' which accounted for 5,017 vehicles (14.2%). Making a left turn was the action for 2,971 vehicles (8.4%).

Pre-Crash Driver Action

1
Straight Ahead18,729 (53.1%)
2
Slowing or Stopped In Traffic5,017 (14.2%)
3
Making Left Turn2,971 (8.4%)
4
Parked2,063 (5.8%)
5
Changing Lanes1,158 (3.3%)
6
Making Right Turn1,073 (3%)
7
Other/Unknown957 (2.7%)
8
Backing934 (2.6%)
9
Negotiating a Curve866 (2.5%)

Showing top 9 of 21 reported. 12 additional (1,505 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Approaching or Leaving Vehicle, Working, Standing Outside Disabled Vehicle.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

Manner of Collision

The most common crash patterns involved two vehicles. Angle collisions were the most frequent type, accounting for 4,655 incidents or 23.8% of all crashes. This was closely followed by rear-end collisions, which numbered 4,594, or 23.5% of the total. Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' comprised 32.3% of all incidents.

Manner of Collision

"Other" combines 2 smaller categories (484 records): Head-on (431), Rear-to-rear (53).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 18,105 of the 35,273 vehicles, or 51.3%. Sport Utility Vehicles (SUVs) were the second most common at 7,923 (22.5%). Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 2,032 instances, making up 5.8% of all vehicles in crashes.

Vehicle Type

"Other" combines 19 smaller categories (1,608 records): Single Unit Truck (408), Motorcycle 2 Wheeled (293), Pedestrian/Skater (198), Bus (16+ Passengers) (178), Other Vehicle (173), Van (9-15 Seats) (117), Bicycle (83), Heavy Equipment (65), All Terrain Vehicle (ATV/UTV) (29), Farm Equipment (21), Animal with Rider or Animal Drawn Vehicle (11), Motorhome (7), Moped or Motorized Bicycle (6), Motorcycle 3 Wheeled (5), Golf Cart (4), Train (3), Wheelchair (Any type) (3), Autocycle (2), Limo (Livery Vehicle) (2).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

Person Type

A total of 43,418 people were involved in crashes during this period. The majority of these individuals were drivers, who accounted for 32,632 people, or 75.2% of the total. Vehicle occupants (passengers) were the next largest group, with 10,582 individuals (24.4%), while pedestrians made up a smaller portion with 204 people (0.5%).

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Person Injury Severity

Of the 43,418 people involved in crashes, 79.6% (34,545 individuals) sustained no injuries. A total of 7,414 people were injured, representing 17.1% of all persons involved. Fatalities were recorded for 102 individuals, which constitutes 0.2% of all people involved in crashes during this period.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Occupant Safety Equipment

Among the 43,418 individuals involved in crashes, usage of safety equipment was widely reported, with 33,484 people using a shoulder and lap belt. However, 2,355 individuals, or 5.4% of all participants, were recorded as using no safety equipment at all. This figure includes both vehicle occupants and other non-motorists.

Occupant Safety Equipment

"Other" combines 4 smaller categories (390 records): Lap Belt Only Used (222), Helmet Used (165), Lighting - Pedestrian / Bicycle Only (2), Protective Pads Used (Elbow; knees; etc.) (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Vehicles Per Crash

The majority of crashes involved two vehicles, with 13,305 incidents (68.2%) falling into this category. Single-vehicle crashes were the next most common, with 5,108 incidents, representing 26.2% of the total. Multi-vehicle crashes involving three or more units were less frequent, though one crash involved as many as 10 vehicles.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 7 (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · 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: 2021-03-01 through 2021-03-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-03-01 through 2021-03-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 19,520
  • Total persons involved: 43,418
  • Total vehicles involved: 35,273

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: March 2021." Published July 5, 2026. Reporting period: 2021-03-01 to 2021-03-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/march-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 — March 2021 | ThatCarHitMe.com