Monthly Traffic Safety Analysis

22,107 CRASHES IN
OHIO, OH
JULY 2021

In July 2021, Ohio recorded 22,107 traffic crashes, resulting in 147 fatalities and 9,222 injuries. Analysis of collision types reveals that single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport', were the most frequent category, accounting for 31.8% of all crashes. This was followed by rear-end collisions (24.9%) and angle collisions (23.0%).

22,107

Total Crash Events

147

Persons Killed

9,222

Persons Injured

19.6%

Hit-and-Run Rate

Note: "Persons Killed" (147) counts individual fatalities across all crash events. "Fatal" in the severity table below (136) 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 · 2021-07-01 to 2021-07-31 · Aggregate counts from crash, person, and vehicle records

4,332

Hit-and-Run Crashes — July 2021

During this period, 4,332 crashes were classified as hit-and-run incidents, representing 19.6% of all crashes statewide. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

Motorists comprised the largest group of individuals killed or injured, with 131 fatalities and 9,053 injuries. In the same period, 16 pedestrians were killed and 169 were injured in traffic crashes. The data reported zero cyclists killed and zero cyclists injured.

16

Pedestrians Killed

131

Motorists Killed

169

Pedestrians Injured

9,053

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequency peaked on Fridays, with 4,033 incidents, and during the 4:00 PM hour, which saw 1,911 crashes. The data shows a distinct pattern with crash volumes rising through the workday and peaking during the afternoon commute hours between 3:00 PM and 5:00 PM, before tapering off into the evening and late-night hours.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes, 70.8% (15,655 incidents), resulted in no injuries. Crashes involving injuries accounted for 29.2% of the total, broken down into serious injuries (3.0%), minor injuries (14.6%), and possible injuries (11.0%). There were 136 fatal crashes, which resulted in a total of 147 fatalities, indicating some incidents involved multiple deaths.

Severity is per crash event (most severe injury). 136 fatal crash events resulted in 147 persons killed.

Outcome by Severity (Crash Events)

Fatal136fatal crashes0.6%
Serious Injury660serious injury crashes3%
Minor Injury3,224minor injury crashes14.6%
Possible Injury2,432possible injury crashes11%
No Injury15,655no injury crashes70.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Most severe injury per crash record

Road & Environmental Conditions

A significant majority of crashes occurred in favorable conditions. Data shows 75.2% of incidents happened in daylight, 84.7% on dry road surfaces, and 68.2% in clear weather. Adverse conditions were less frequent, with 2,079 crashes (9.4%) occurring during rain and 3,175 crashes (14.4%) taking place on wet roads.

Weather

Clear15,080 (68.2%)
Cloudy4,672 (21.1%)
Rain2,079 (9.4%)
Other/Unknown197 (0.9%)
Fog; Smog; Smoke62 (0.3%)
Severe Crosswinds5 (0.0%)
Freezing Rain or Freezing Drizzle4 (0.0%)
Sleet; Hail4 (0.0%)
Snow3 (0.0%)
Blowing Sand; Soil; Dirt; Snow1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Weather condition at time of crash

Lighting

Daylight16,623 (75.2%)
Dark - Lighted Roadway2,673 (12.1%)
Dark - Roadway Not Lighted1,678 (7.6%)
Dawn/Dusk865 (3.9%)
Other/Unknown167 (0.8%)
Dark - Unknown Roadway Lighting101 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Lighting condition field

Road Surface

Dry18,734 (84.7%)
Wet3,175 (14.4%)
Other/Unknown139 (0.6%)
Water (Standing; Moving)34 (0.2%)
Sand; Mud; Dirt; Oil; Gravel21 (0.1%)
Snow4 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Road surface condition field

Vehicles & Demographics

Among the 50,845 people involved in crashes, the 26-34 age group was the most represented, with 8,068 individuals. Of the 40,225 vehicles involved, the most frequent makes were Chevrolet (6,038 vehicles), Ford (5,697 vehicles), and Honda (3,360 vehicles).

Top Vehicle Makes (40,225 vehicles)

1
CHEVROLET6,038 (15%)
2
FORD5,697 (14.2%)
3
HONDA3,360 (8.4%)
4
TOYOTA2,930 (7.3%)
5
DODGE2,029 (5%)
6
NISSAN1,750 (4.4%)
7
JEEP1,506 (3.7%)
8
HYUNDAI1,501 (3.7%)
9
KIA1,467 (3.6%)
10
GMC1,121 (2.8%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

4,054 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (47,760 persons with recorded sex)

Male26,116 (54.7%)
Female21,644 (45.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The vast majority of crashes, 18,408 incidents, had their first harmful event occur on the primary roadway. However, a notable number of crashes occurred off the main travel lanes, with 1,831 on the roadside, 749 on the shoulder, and 152 in the median. Combined, these run-off-road incidents represent approximately 12.4% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (187 records): Driveway/Alley access (81), On ramp (57), Toll Booth (13), Railway grade crossing (13), Crossover (10), On Gore (7), Bike Lane (3), Shared-use paths or trails (3).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Traffic Control Device

Analysis of the 39,984 vehicles with traffic control data shows that the largest number of vehicles, 26,116, were involved in crashes where no traffic control was present. Crashes at locations with traffic signals involved 10,397 vehicles, while those at stop signs involved 2,856 vehicles.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

Driver Contributing Factor

Among driver-related contributing factors, 'Following too Close / ACDA' was the most cited, attributed to 5,147 vehicles. This was followed by 'Failure to Yield' with 3,225 vehicles and 'Other Improper Action' with 2,610 vehicles. 'Drove off Road' was also a significant factor, cited for 2,124 vehicles.

Driver Contributing Factor

1
Following too Close / ACDA5,147 (24.7%)
2
Failure to Yield3,225 (15.5%)
3
Other Improper Action2,610 (12.5%)
4
Drove off Road2,124 (10.2%)
5
Improper Lane Change1,287 (6.2%)
6
Improper Backing890 (4.3%)
7
Unsafe Speed871 (4.2%)
8
Not Discernible771 (3.7%)
9
Ran Red Light763 (3.7%)

Showing top 9 of 23 reported. 14 additional (3,122 total) not shown: Improper Turn, Left of Center, Ran Stop Sign, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Stopped or Parked Illegally, Vision Obstruction, Opening Door into Roadway, Lying in Roadway.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

Commercial / Truck Involvement

A total of 1,788 commercial trucks were involved in crashes during this period. Of these, 1,028 were identified as semi-tractor trailers, while the remaining 760 were classified as other types of commercial vehicles. These incidents accounted for approximately 8.1% of all crashes in the state.

Vulnerable Road Users & Motorcycles

Crashes involved 975 vulnerable road users and motorcyclists. This group included 641 motorcyclists, 186 pedestrians, and 148 bicyclists. Combined, pedestrians and bicyclists were involved in 334 separate crashes.

Animal-Involved Crashes

A total of 1,031 crashes were recorded as involving animals. Deer were the most common animal involved, accounting for 925 of these incidents, or approximately 89.7% of all animal-related crashes. The remaining 106 crashes involved other, unspecified animals.

Impairment (Alcohol / Drugs)

There were 1,177 crashes involving impairment, representing 5.3% of all crashes. Of these, alcohol was a factor in 763 incidents, drugs were a factor in 264, and a combination of alcohol and drugs was noted in 150 crashes.

Driver Condition

Beyond normal driving conditions, several driver conditions were noted prior to crashes. A total of 947 drivers were reported as being under the influence of medications, drugs, or alcohol. Additionally, 270 drivers were reported to have fallen asleep, fainted, or been fatigued, while 166 were noted as emotional and 160 had a physical impairment.

Driver Condition

1
Apparently Normal31,923 (88.2%)
2
Other/Unknown2,655 (7.3%)
3
Under the Influence of Medications / Drugs / Alcohol947 (2.6%)
4
Fell Asleep; Fainted; Fatigued; etc.270 (0.7%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)166 (0.5%)
6
Physical Impairment160 (0.4%)
7
Illness74 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Driver Distraction

Among the 35,935 drivers with distraction data, a number of specific distractions were identified. The most common were 'Other distraction inside the vehicle' (611 drivers) and 'Other distraction outside the vehicle' (407 drivers). Manual operation of an electronic device was cited for 171 drivers, while another 163 were engaged in other activities with an electronic device.

Driver Distraction

1
Not Distracted31,037 (86.4%)
2
Other/Unknown3,385 (9.4%)
3
Other distraction inside the vehicle611 (1.7%)
4
Other distraction outside the vehicle407 (1.1%)
5
Manually operating an electronic communication device (texting; typing; dialing)171 (0.5%)
6
Other activity with an electronic device163 (0.5%)
7
Passenger79 (0.2%)
8
Talking on hand-held communication device51 (0.1%)
9
Talking on hands-free communication device9

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Road Alignment

The majority of crashes (16,884) occurred on straight, level sections of roadway. However, roadway geometry was a factor in a subset of crashes, with 4,101 incidents (18.6%) occurring on a grade (either straight or curved) and 2,028 incidents (9.2%) occurring on a curve (either level or graded).

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Top Cities

The highest concentration of crashes occurred in Ohio's major urban centers. The top three cities, Cincinnati (1,348 crashes), Cleveland (1,337 crashes), and Columbus (1,234 crashes), collectively accounted for 3,919 crashes, representing 17.7% of the statewide total for the month.

Top Cities

1
Cincinnati1,348 (12.4%)
2
Cleveland1,337 (12.3%)
3
Columbus1,234 (11.4%)
4
Toledo888 (8.2%)
5
Akron445 (4.1%)
6
Dayton411 (3.8%)
7
Springfield (Township Of)283 (2.6%)
8
Jackson (Township Of)243 (2.2%)
9
Union (Township Of)232 (2.1%)

Showing top 9 of 50 reported. 41 additional (4,449 total) not shown: Canton, Green (Township Of), Liberty (Township Of), Washington (Township Of), Springfield, Colerain (Township Of), Miami (Township Of), Perry (Township Of), Hamilton, Franklin (Township Of), Harrison (Township Of), Youngstown, Lorain, Madison (Township Of), Jefferson (Township Of), West Chester (Township Of) Aka Union Township, Mentor, Mansfield, Elyria, Boardman (Township Of), Lancaster, Zanesville, Lima, Euclid, Huber Heights, Middletown, Reynoldsburg, Fairfield, Deerfield (Township Of), Findlay, Delaware, Sandusky, Plain (Township Of), Cuyahoga Falls, Bath (Township Of), Beavercreek, Pleasant (Township Of), Monroe (Township Of), Garfield Heights, Sylvania (Township Of), Concord (Township Of).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Pre-Crash Driver Action

Analysis of the 40,225 vehicles with pre-crash action data shows most were performing normal driving maneuvers. The most common action was 'Straight Ahead', noted for 21,325 vehicles (53.0%). This was followed by 'Slowing or Stopped In Traffic' (5,905 vehicles, 14.7%) and 'Making Left Turn' (3,295 vehicles, 8.2%).

Pre-Crash Driver Action

1
Straight Ahead21,325 (53%)
2
Slowing or Stopped In Traffic5,905 (14.7%)
3
Making Left Turn3,295 (8.2%)
4
Parked2,259 (5.6%)
5
Changing Lanes1,329 (3.3%)
6
Making Right Turn1,169 (2.9%)
7
Negotiating a Curve1,143 (2.8%)
8
Backing1,117 (2.8%)
9
Other/Unknown1,054 (2.6%)

Showing top 9 of 21 reported. 12 additional (1,629 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Other Non-Motorist, Standing, Entering or Crossing Specified Location, Working, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · 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 7,023 crashes (31.8%). Among multi-vehicle crashes, rear-end collisions were the most common, with 5,495 incidents (24.9%), followed by angle collisions with 5,093 incidents (23.0%).

Manner of Collision

"Other" combines 2 smaller categories (518 records): Sideswipe; opposite direction (442), Rear-to-rear (76).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 20,312 of the 40,225 vehicles (50.5%). Sport Utility Vehicles were the second most common type with 8,858 vehicles (22.0%), followed by Pick-up trucks with 4,367 vehicles (10.9%).

Vehicle Type

"Other" combines 19 smaller categories (2,150 records): Cargo Van (594), Single Unit Truck (503), Other Vehicle (224), Pedestrian/Skater (193), Van (9-15 Seats) (153), Bicycle (148), Bus (16+ Passengers) (101), Heavy Equipment (62), All Terrain Vehicle (ATV/UTV) (41), Farm Equipment (25), Moped or Motorized Bicycle (25), Motorcycle 3 Wheeled (24), Motorhome (20), Golf Cart (13), Animal with Rider or Animal Drawn Vehicle (13), Train (4), Autocycle (4), Limo (Livery Vehicle) (2), Wheelchair (Any type) (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

Person Type

Of the 50,845 individuals involved in crashes, the majority were drivers, accounting for 37,492 people (73.7%). Passengers (occupants) represented the second-largest group with 13,151 individuals (25.9%), while pedestrians accounted for 202 individuals (0.4%).

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Person Injury Severity

Across all 50,845 people involved in crashes, 9,222 individuals (18.1%) sustained some level of injury. This included 147 fatalities (0.3% of all persons), 841 serious injuries, 4,485 minor injuries, and 3,896 possible injuries. The vast majority, 39,789 people, were recorded as having no injuries.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Occupant Safety Equipment

Among the 50,845 individuals in vehicles, 39,518 were reported as using a shoulder and lap belt. However, 2,432 people were documented as using no safety equipment at all. An additional 1,778 individuals were in various types of child restraint systems.

Occupant Safety Equipment

"Other" combines 4 smaller categories (624 records): Helmet Used (316), Lap Belt Only Used (294), Lighting - Pedestrian / Bicycle Only (11), Protective Pads Used (Elbow; knees; etc.) (3).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Vehicles Per Crash

The data shows that most crashes involved either one or two vehicles. Two-vehicle crashes were the most common scenario, accounting for 15,207 incidents (68.8% of all crashes). Single-vehicle crashes accounted for 5,587 incidents, or 25.3% of the total. A small number of large multi-vehicle pile-ups were recorded, including one incident involving 15 vehicles.

Vehicles Per Crash

"Other" combines 2 smaller categories (2 records): 15 (1), 9 (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · 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: 2021-07-01 through 2021-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-07-01 through 2021-07-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 22,107
  • Total persons involved: 50,845
  • Total vehicles involved: 40,225

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: July 2021." Published July 5, 2026. Reporting period: 2021-07-01 to 2021-07-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/july-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 — July 2021 | ThatCarHitMe.com