ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · APRIL 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/april-2021-report
Monthly Traffic Safety Analysis
20,999 CRASHES IN
OHIO, OH
APRIL 2021
In April 2021, Ohio recorded 20,999 traffic crashes, resulting in 104 fatalities and 8,218 injuries. The data indicates that Fridays were the most frequent day for crashes, with a total of 3,994 incidents, and the afternoon commute hour of 4 p.m. was the daily peak, accounting for 1,817 collisions.
20,999
Total Crash Events
104
Persons Killed
8,218
Persons Injured
19.0%
Hit-and-Run Rate
Note: "Persons Killed" (104) counts individual fatalities across all crash events. "Fatal" in the severity table below (96) 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 · 2021-04-01 to 2021-04-30 · Aggregate counts from crash, person, and vehicle records
3,989
Hit-and-Run Crashes — April 2021
During this period, 3,989 crashes were classified as hit-and-run incidents, constituting 19% of all collisions. This classification is based on the responding officer's determination at the scene that a driver involved in the crash had left without providing required information.
Vulnerable Road User Casualties
Of the 104 fatalities, 88 were motorists and 16 were pedestrians. Motorists also accounted for the vast majority of injuries with 8,075, while 143 pedestrians were injured. There were no cyclist fatalities or injuries reported in the data for this period.
16
Pedestrians Killed
88
Motorists Killed
143
Pedestrians Injured
8,075
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequencies peaked on Fridays with 3,994 incidents, closely followed by Thursdays with 3,921. The most hazardous time of day was the 4 p.m. hour, which saw 1,817 crashes, part of a broader afternoon peak from 2 p.m. to 5 p.m. Collisions during daylight hours (14,966) were substantially more common than those in dark or dusk conditions.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 72.4% (15,193), resulted in no injuries. Injury-related crashes, including serious, minor, and possible injuries, accounted for 27.2% of the total, or 5,710 incidents. A total of 96 crashes were classified as fatal, which resulted in 104 total fatalities, indicating some crashes involved more than one death.
Severity is per crash event (most severe injury). 96 fatal crash events resulted in 104 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Most severe injury per crash record
Road & Environmental Conditions
A significant majority of crashes occurred in favorable conditions, with 79.4% (16,677) on dry roads, 71.3% (14,966) in daylight, and 62.8% (13,193) in clear weather. Adverse conditions were less frequent, with 2,204 crashes occurring during rain and 3,664 on wet road surfaces. Collisions in darkness occurred in 4,747 cases, split between lighted and unlighted roadways.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Road surface condition field
Vehicles & Demographics
Among the 47,815 people involved in crashes, the 26-34 age group was the most represented, with 7,790 individuals. An analysis of the 38,325 vehicles involved shows that Chevrolet (5,871), Ford (5,566), and Honda (3,244) were the most frequently recorded makes in crash reports. Passenger cars were the most common vehicle type, involved in 19,791 instances.
Top Vehicle Makes (38,325 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
3,714 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (44,947 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The initial point of impact for most collisions was on the primary roadway, accounting for 17,419 crashes. However, a notable number of incidents were run-off-road events, with a combined 2,592 crashes occurring on the roadside (1,668), shoulder (755), or in the median (169). These off-roadway crashes represent 12.3% of the total.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (208 records): Other/Unknown (100), On ramp (80), Railway grade crossing (8), On Gore (7), Toll Booth (5), Shared-use paths or trails (4), Crossover (3), Bike Lane (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Traffic Control Device
Analysis of traffic controls at crash locations indicates that the majority of vehicles, 24,660, were involved in crashes where no traffic control device was present. Crashes at locations with traffic signals involved 9,993 vehicles, while those at stop signs involved 2,786 vehicles.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Driver Contributing Factor
The most common contributing factor cited for drivers was 'Following too Close / ACDA' (Assured Clear Distance Ahead), noted in 4,874 instances. This was followed by 'Failure to Yield' with 3,014 citations and 'Drove off Road' with 2,020. These top three actions represent a significant portion of driver-related factors in collisions.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (2,879 total) not shown: Improper Turn, Left of Center, Ran Stop Sign, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Vision Obstruction, Stopped or Parked Illegally, Opening Door into Roadway, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Commercial / Truck Involvement
Crashes involving commercial trucks numbered 1,547, representing 7.4% of all collisions during this period. Of these, 854 incidents involved a semi-tractor trailer, while the remaining 693 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
There were 256 crashes involving vulnerable road users, defined here as pedestrians and bicyclists, accounting for 1.2% of all incidents. These included 164 pedestrian-involved crashes and 92 bicyclist-involved crashes. An additional 347 crashes involved motorcyclists.
Animal-Involved Crashes
A total of 1,084 crashes were attributed to collisions with animals, making up 5.2% of all incidents. The vast majority of these, 983 crashes, specifically involved deer, while 101 involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 1,160 crashes, or 5.5% of the total. Alcohol was the most frequently cited substance, involved in 758 crashes, while drugs were noted in 256 crashes. An additional 146 crashes involved a combination of both alcohol and drugs.
Driver Condition
Among all drivers involved in crashes, 1,661 were noted as being in a condition other than 'Apparently Normal'. The most common condition was being 'Under the Influence of Medications / Drugs / Alcohol,' cited for 965 drivers. Other reported conditions included fatigue or falling asleep (279 drivers) and physical impairment (183 drivers).
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Driver Distraction
Among drivers for whom distraction status was recorded, a specific distraction was identified in 1,468 cases. The most cited issues were 'Other distraction inside the vehicle' (574 drivers) and 'Other distraction outside the vehicle' (420 drivers). Manually operating an electronic device like a phone was a factor for 140 drivers.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Road Alignment
The roadway geometry was a factor in a subset of crashes. Collisions on curves accounted for 1,977 incidents (9.4% of total), while crashes on a grade (uphill or downhill) occurred in 3,928 instances (18.7% of total). Most crashes, 15,947, took place on straight and level sections of road.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Top Cities
The geographic distribution of crashes is concentrated in Ohio's largest cities. Cleveland (1,338 crashes), Cincinnati (1,320), and Columbus (1,163) together accounted for 3,821 incidents, or 18.2% of the statewide total. The next most frequent locations were Toledo with 824 crashes and Akron with 553.
Top Cities
Showing top 9 of 50 reported. 41 additional (4,336 total) not shown: Springfield, Liberty (Township Of), Canton, Green (Township Of), Washington (Township Of), Colerain (Township Of), Miami (Township Of), Youngstown, West Chester (Township Of) Aka Union Township, Hamilton, Harrison (Township Of), Perry (Township Of), Franklin (Township Of), Mansfield, Lima, Elyria, Jefferson (Township Of), Mentor, Cuyahoga Falls, Lancaster, Madison (Township Of), Monroe (Township Of), Lorain, Zanesville, Boardman (Township Of), Newark, Fairfield, Grove City, Reynoldsburg, Bath (Township Of), North Olmsted, Sharonville, Warren, Euclid, Middletown, Green, Huber Heights, Forest Park, Beavercreek, Pleasant (Township Of), Parma.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Pre-Crash Driver Action
The most common action immediately preceding a crash was driving 'Straight Ahead,' which was the case for 20,275 vehicles (52.9% of all involved). The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' recorded for 5,739 vehicles (15.0%), often a precursor to rear-end collisions.
Pre-Crash Driver Action
Showing top 9 of 21 reported. 12 additional (1,523 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle, Working.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Manner of Collision
Single-vehicle crashes, classified as 'Not Collision Between Two Vehicles in Transport,' were the most common type, accounting for 6,577 incidents or 31.3% of the total. Among multi-vehicle crashes, rear-end collisions were most frequent with 5,198 cases (24.8%), followed closely by angle collisions with 5,098 cases (24.3%).
Manner of Collision
"Other" combines 2 smaller categories (476 records): Sideswipe; opposite direction (421), Rear-to-rear (55).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Vehicle Type
Passenger cars were the predominant vehicle type involved in crashes, accounting for 19,791 of the 38,325 vehicles (51.6%). Sport Utility Vehicles were the second most common type with 8,546 involved. Commercial vehicles, including pick-ups, semi-tractors, and other trucks, collectively represented a notable share of the vehicles in collisions.
Vehicle Type
"Other" combines 19 smaller categories (1,783 records): Cargo Van (515), Motorcycle 2 Wheeled (354), Other Vehicle (186), Bus (16+ Passengers) (173), Pedestrian/Skater (167), Van (9-15 Seats) (121), Bicycle (93), Heavy Equipment (57), Farm Equipment (30), All Terrain Vehicle (ATV/UTV) (27), Motorhome (16), Moped or Motorized Bicycle (16), Animal with Rider or Animal Drawn Vehicle (10), Motorcycle 3 Wheeled (6), Autocycle (6), Train (3), Golf Cart (1), Limo (Livery Vehicle) (1), Wheelchair (Any type) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Person Type
Of the 47,815 individuals involved in crashes, the vast majority were drivers (35,697 people, or 74.7%). Vehicle occupants or passengers constituted the next largest group, with 11,947 individuals (25.0%). A smaller but significant group of 171 pedestrians were also involved in these incidents.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Person Injury Severity
Across all 47,815 people involved, 104 individuals sustained fatal injuries (0.2%) and 8,218 sustained some level of injury (17.2%). The largest group, 38,150 people (79.8%), were recorded as having no injuries. Serious injuries were reported for 638 individuals.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Occupant Safety Equipment
Among all vehicle occupants, 37,071 (77.5%) were recorded as using a shoulder and lap belt. However, 2,596 individuals (5.4%) were documented as using no safety equipment at all. Child restraint systems, including forward-facing, rear-facing, and booster seats, were used by a combined 1,771 children.
Occupant Safety Equipment
"Other" combines 4 smaller categories (444 records): Lap Belt Only Used (251), Helmet Used (182), Lighting - Pedestrian / Bicycle Only (9), Protective Pads Used (Elbow; knees; etc.) (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Vehicles Per Crash
The most common crash configuration involved two vehicles, accounting for 14,360 incidents or 68.4% of the total. Single-vehicle crashes were also common, with 5,295 incidents (25.2%). Crashes involving three or more vehicles were less frequent, though one incident involved as many as 16 vehicles.
Vehicles Per Crash
"Other" combines 3 smaller categories (3 records): 10 (1), 16 (1), 7 (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · 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: 2021-04-01 through 2021-04-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-04-01 through 2021-04-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,999
- Total persons involved: 47,815
- Total vehicles involved: 38,325
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: April 2021." Published July 5, 2026. Reporting period: 2021-04-01 to 2021-04-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/april-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: 2021-04-01 – 2021-04-30
Generated: July 5, 2026 · All rights reserved