ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · JUNE 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/june-2021-report
Monthly Traffic Safety Analysis
23,180 CRASHES IN
OHIO, OH
JUNE 2021
In June 2021, Ohio recorded 23,180 traffic crashes, resulting in 111 fatalities and 9,393 injuries. The data indicates that rear-end and angle collisions were the most frequent types of multi-vehicle crashes, collectively accounting for 48.7% of all incidents. A significant portion of driver-attributed incidents, 5,456 cases, were linked to following too closely.
23,180
Total Crash Events
111
Persons Killed
9,393
Persons Injured
19.2%
Hit-and-Run Rate
Note: "Persons Killed" (111) counts individual fatalities across all crash events. "Fatal" in the severity table below (101) 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 · 2021-06-01 to 2021-06-30 · Aggregate counts from crash, person, and vehicle records
4,446
Hit-and-Run Crashes — June 2021
During this period, 4,446 crashes were classified as hit-and-run incidents, representing 19.2% of all reported crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
Of the 111 total fatalities, motorists accounted for 94, while 17 were pedestrians. There were no cyclist fatalities recorded. Regarding injuries, 9,226 motorists and 167 pedestrians were injured. No cyclist injuries were reported in the dataset for this period.
17
Pedestrians Killed
94
Motorists Killed
167
Pedestrians Injured
9,226
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequencies peaked during the midweek and afternoon commute hours. Wednesday was the busiest day with 4,093 crashes, followed by Tuesday with 3,871. The single hour with the most crashes was from 4:00 PM to 4:59 PM, which saw 2,074 incidents, part of a broader afternoon peak between 3:00 PM and 6:00 PM.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes, 71.7% (16,611), resulted in no injuries. Crashes involving injuries accounted for 27.9% of the total, broken down into serious injuries (2.7%), minor injuries (14.4%), and possible injuries (10.8%). There were 101 fatal crashes during this period, which resulted in a total of 111 fatalities.
Severity is per crash event (most severe injury). 101 fatal crash events resulted in 111 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Most severe injury per crash record
Road & Environmental Conditions
A substantial majority of crashes occurred in favorable conditions. Incidents in daylight accounted for 76.2% of the total (17,674), while 82.1% happened on dry roads (19,034) and 65.4% occurred in clear weather (15,156). Adverse conditions included 2,741 crashes in the rain and 3,947 crashes on wet road surfaces.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Road surface condition field
Vehicles & Demographics
Analysis of the 53,015 people involved in crashes shows the 26-34 age group was the most represented, with 8,491 individuals. Among the 42,266 vehicles involved, domestic brands were most frequent, with Chevrolet appearing in 6,299 instances, Ford in 5,947, and Honda in 3,639. Passenger cars were the most common vehicle type, involved in 21,400 instances.
Top Vehicle Makes (42,266 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records
4,126 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (49,875 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The majority of initial harmful events, 19,444 incidents, occurred on the primary roadway. However, a notable number of crashes originated off the main travel lanes, with 1,779 on the roadside, 744 on the shoulder, and 179 in the median. Combined, these run-off-road events represent 11.7% of all crashes.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (217 records): Driveway/Alley access (100), On ramp (69), Toll Booth (15), Railway grade crossing (10), Shared-use paths or trails (9), On Gore (8), Crossover (4), Bike Lane (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records
Traffic Control Device
Most crashes occurred at locations with no traffic control device present, accounting for 27,337 involved units. Locations with traffic signals were the site of 10,951 unit involvements, while intersections with stop signs accounted for 3,078. A smaller number of incidents occurred at locations with yield signs (189) or roundabouts (248).
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records
Driver Contributing Factor
Among contributing factors attributed to drivers, 'Following too Close / ACDA' was the most common, cited in 5,456 instances. This was followed by 'Failure to Yield' with 3,373 instances and 'Drove off Road' with 2,093. 'Improper Lane Change' (1,373) and 'Unsafe Speed' (884) were also frequently cited driver actions.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (3,168 total) not shown: Improper Turn, Left of Center, Ran Stop Sign, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, 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 · 2021-06-01 to 2021-06-30 · Vehicle unit records
Commercial / Truck Involvement
A total of 1,800 crashes involved a commercial truck. Of these, 990 incidents involved a semi-tractor trailer, while the remaining 810 involved other types of commercial vehicles. These incidents represent a key area of focus due to the potential for higher severity.
Vulnerable Road Users & Motorcycles
There were 881 crashes involving vulnerable road users or motorcyclists. Motorcyclists were involved in 552 incidents, while pedestrians were involved in 192 and bicyclists in 137. Combined, pedestrians and bicyclists accounted for 329 crashes.
Animal-Involved Crashes
A total of 1,427 crashes were attributed to collisions with animals. The vast majority of these, 1,340 incidents, involved deer. The remaining 87 crashes involved other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 1,058 crashes, representing 4.6% of the total. Alcohol was the sole factor in 693 of these incidents, drugs were the sole factor in 252, and a combination of alcohol and drugs was noted in 113 cases.
Driver Condition
Beyond impairment, other driver conditions were noted in 1,572 instances. These included driving under the influence of medications/drugs/alcohol (876), falling asleep or fatigue (292), emotional distress (154), physical impairment (156), and illness (94).
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events
Driver Distraction
Among drivers for whom a distraction was recorded, the most common issues were internal and external distractions. There were 583 instances of 'other distraction inside the vehicle' and 427 of 'other distraction outside the vehicle'. Manually operating an electronic device was cited for 146 drivers, while talking on a hand-held device was noted for 48.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events
Road Alignment
Most crashes (17,678) occurred on straight and level sections of roadway. However, road geometry played a role in a significant minority of crashes, with 3,218 occurring on a grade and 2,234 occurring on a curve. Crashes on sections with both a curve and a grade accounted for 1,023 incidents.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records
Top Cities
The highest crash volumes were concentrated in Ohio's largest urban centers. Cincinnati (1,443), Cleveland (1,397), and Columbus (1,235) together accounted for 4,075 crashes, or 17.6% of the statewide total. Other municipalities with over 200 crashes included Toledo (912), Akron (627), and Dayton (428).
Top Cities
Showing top 9 of 50 reported. 41 additional (4,679 total) not shown: Jackson (Township Of), Green (Township Of), Canton, Springfield, Washington (Township Of), Colerain (Township Of), Hamilton, Perry (Township Of), Miami (Township Of), West Chester (Township Of) Aka Union Township, Jefferson (Township Of), Youngstown, Mansfield, Harrison (Township Of), Franklin (Township Of), Elyria, Madison (Township Of), Lancaster, Lorain, Fairfield, Mentor, Zanesville, Euclid, Boardman (Township Of), Middletown, Garfield Heights, Cuyahoga Falls, Warren, Sylvania (Township Of), Plain (Township Of), Huber Heights, Lima, Reynoldsburg, Anderson (Township Of), Sharonville, Beavercreek, Findlay, Monroe (Township Of), Newark, Marion, Pleasant (Township Of).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records
Pre-Crash Driver Action
Analysis of vehicle actions prior to collision shows that moving 'Straight Ahead' was the most common pre-crash action, recorded for 22,384 vehicles. The next most frequent actions were 'Slowing or Stopped In Traffic' (6,381 vehicles) and 'Making Left Turn' (3,451 vehicles).
Pre-Crash Driver Action
Showing top 9 of 20 reported. 11 additional (1,641 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, Working, Standing Outside Disabled Vehicle.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records
Manner of Collision
Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were the most frequent type of incident, accounting for 7,308 crashes (31.5%). Among multi-vehicle collisions, rear-end crashes were most common with 5,817 incidents (25.1%), followed by angle collisions with 5,467 incidents (23.6%).
Manner of Collision
"Other" combines 2 smaller categories (536 records): Sideswipe; opposite direction (478), Rear-to-rear (58).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 21,400 of the 42,266 total vehicles. Sport Utility Vehicles (9,511) and Pick-up trucks (4,637) were the next most frequent. Commercial vehicles were also present, including 1,075 Semi-Tractors and 576 Single Unit Trucks.
Vehicle Type
"Other" combines 19 smaller categories (2,141 records): Single Unit Truck (576), Motorcycle 2 Wheeled (560), Other Vehicle (219), Pedestrian/Skater (192), Bicycle (138), Van (9-15 Seats) (115), Bus (16+ Passengers) (109), Heavy Equipment (60), Farm Equipment (37), All Terrain Vehicle (ATV/UTV) (36), Motorhome (33), Moped or Motorized Bicycle (28), Motorcycle 3 Wheeled (20), Animal with Rider or Animal Drawn Vehicle (7), Wheelchair (Any type) (5), Golf Cart (3), Train (1), Autocycle (1), Limo (Livery Vehicle) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records
Person Type
Of the 53,015 individuals involved in crashes, the majority were drivers (39,484). Vehicle occupants (passengers) constituted the second-largest group with 13,331 individuals. A smaller but notable group consisted of 200 pedestrians involved in collisions.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records
Person Injury Severity
Among all 53,015 people involved in crashes, 111 sustained fatal injuries (0.2%) and 9,393 sustained non-fatal injuries (17.7%). The non-fatal injuries included 742 serious, 4,615 minor, and 4,036 possible injuries. The largest group, 41,767 people (78.8%), were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records
Occupant Safety Equipment
Shoulder and lap belts were reportedly used by 41,334 vehicle occupants. However, 2,404 occupants were recorded as using no safety equipment at all. Child restraints, including forward-facing, rear-facing, and booster seats, were used by a combined 2,011 children.
Occupant Safety Equipment
"Other" combines 5 smaller categories (538 records): Lap Belt Only Used (271), Helmet Used (249), Lighting - Pedestrian / Bicycle Only (14), Protective Pads Used (Elbow; knees; etc.) (2), Reflective Clothing (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events
Vehicles Per Crash
The most common type of crash involved two vehicles, accounting for 15,938 incidents. Single-vehicle crashes were the second most frequent, with 5,817 incidents. Multi-vehicle crashes involving three or more vehicles were less common, with 1,193 three-vehicle crashes and 186 four-vehicle crashes recorded.
Vehicles Per Crash
"Other" combines 1 smaller categories (1 records): 13 (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · 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: 2021-06-01 through 2021-06-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-06-01 through 2021-06-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 23,180
- Total persons involved: 53,015
- Total vehicles involved: 42,266
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: June 2021." Published July 5, 2026. Reporting period: 2021-06-01 to 2021-06-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/june-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2021-06-01 – 2021-06-30
Generated: July 5, 2026 · All rights reserved