ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · 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/2021-annual-report
Yearly Traffic Safety Analysis
1,848 CRASHES IN
OHIO, OH
2021
In 2021, Ashtabula County recorded 1,848 traffic crashes, resulting in 16 fatalities and 662 injuries. A significant portion of these incidents, 56.2%, were single-vehicle crashes classified as "Not Collision Between Two Vehicles in Transport." This category includes events such as running off the road or striking an object or animal.
1,848
Total Crash Events
16
Persons Killed
662
Persons Injured
8.9%
Hit-and-Run Rate
Note: "Persons Killed" (16) counts individual fatalities across all crash events. "Fatal" in the severity table below (15) 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 2021-12-31 · Aggregate counts from crash, person, and vehicle records
165
Hit-and-Run Crashes — 2021
Based on the initial determination by responding officers, 165 crashes in 2021 were classified as hit-and-run incidents. This represents 8.9% of all reported crashes in Ashtabula County for the year.
Vulnerable Road User Casualties
In 2021, motorists accounted for all 16 fatalities and the vast majority of injuries, with 653 motorists injured. While there were no pedestrian or cyclist fatalities, 9 pedestrians were injured in crashes. No cyclist injuries were recorded in the dataset for this period.
0
Pedestrians Killed
16
Motorists Killed
9
Pedestrians Injured
653
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency in Ashtabula County during 2021 varied by time of day and week. Fridays saw the highest number of crashes with 333 incidents, while the afternoon commute, particularly the 3 p.m. hour, was the daily peak with 137 crashes. Analysis of lighting conditions shows that 1,142 crashes occurred during daylight, while 702 occurred during dark or twilight conditions.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes in 2021, 73.4% (1,357 incidents), resulted in no injuries. Injury-related crashes accounted for 25.7% of the total, distributed among serious (3.5%), minor (13.7%), and possible (8.5%) injury categories. There were 15 fatal crashes, which resulted in a total of 16 fatalities, indicating at least one crash involved multiple deaths.
Severity is per crash event (most severe injury). 15 fatal crash events resulted in 16 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes occurred in ideal driving conditions. Specifically, 71.9% of incidents (1,329 crashes) happened on dry roads, 61.8% (1,142 crashes) took place in daylight, and 54.5% (1,008 crashes) were in clear weather. Crashes in adverse conditions included 177 in rain and 105 in snow, while 365 crashes occurred on wet road surfaces.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 600 individuals. The top five vehicle makes involved in crashes were Chevrolet (502 vehicles), Ford (414), Honda (220), and a tie between Toyota and Dodge (both 196).
Top Vehicle Makes (2,830 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
154 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,670 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The initial point of impact for most crashes (1,336 incidents) was on the primary roadway. However, a notable number of crashes originated off the travel lanes, with 430 occurring on the roadside, 33 on the shoulder, and 10 in the median. Combined, these run-off-road events represent 26.5% of all crashes.
Crash Location (First Harmful Event)
"Other" combines 3 smaller categories (8 records): Crossover (5), On ramp (2), On Gore (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Data on traffic control devices at crash locations, recorded per vehicle unit, shows that the majority of units (2,110, or 74.6%) were involved in crashes at locations with no traffic control present. In contrast, 393 units (13.9%) were involved in crashes at signalized intersections, and 271 units were at locations with a stop sign.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Contributing Factor
Among contributing factors cited for drivers, "Drove off Road" was the most common, attributed to 362 units. This was followed by "Following too Close / ACDA" with 273 units and "Failure to Yield" with 251 units. "Unsafe Speed" was another significant factor, cited for 126 driver units involved in crashes.
Driver Contributing Factor
Showing top 9 of 21 reported. 12 additional (231 total) not shown: Ran Stop Sign, Operating Defective Equipment, Improper Passing, Swerving to Avoid, Ran Red Light, Not Discernible, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Stopped or Parked Illegally, Improper Crossing, Wrong Way, Opening Door into Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 130 crashes involved a commercial truck, accounting for 7.0% of all crashes in the county. Of these, 74 incidents involved a semi-tractor trailer, while the remaining 56 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users included 53 incidents with motorcyclists, 9 with pedestrians, and 4 with bicyclists. Combined, there were 13 crashes involving pedestrians and bicyclists, a group that often faces a higher risk of severe injury in collisions.
Animal-Involved Crashes
Animal-related collisions accounted for 296 incidents, or 16.0% of all crashes in Ashtabula County. The vast majority of these, 278 crashes, involved collisions with deer, while 18 crashes involved other animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 136 crashes, representing 7.4% of the total. Among these, alcohol was cited in 96 cases, drugs were a factor in 22 cases, and a combination of alcohol and drugs was noted in 18 cases. These figures represent a minimum baseline, as impairment can be under-reported.
Driver Condition
Beyond normal driving conditions, several driver states were recorded at the time of crashes. The most frequent was being "Under the Influence of Medications / Drugs / Alcohol," noted for 117 drivers. Additionally, 40 drivers were reported as having fallen asleep or being fatigued, while illness was cited for 18 drivers.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Driver Distraction
Among drivers for whom a distraction was noted, the most common factor was "Other distraction inside the vehicle," cited in 72 cases. This was followed by distractions outside the vehicle (35 cases). Electronic device use was specifically mentioned in 30 instances, including 12 cases of manual operation like texting or typing.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Road Alignment
While the majority of crashes (1,484) occurred on straight, level road segments, a portion took place on more complex geometries. Crashes on curves accounted for 7.5% of the total (139 incidents), and crashes on graded roads (uphill or downhill) made up 15.7% of the total (290 incidents).
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Top Cities
The geographic distribution of crashes was concentrated in a few key areas. The City of Ashtabula accounted for the largest share, with 467 crashes, or 25.3% of the county's total. Following were Conneaut with 162 crashes (8.8%) and Saybrook with 141 crashes (7.6%).
Top Cities
Showing top 9 of 32 reported. 23 additional (572 total) not shown: Kingsville, Denmark, Orwell, Trumbull, Andover, New Lyme, Colebrook, Lenox, Monroe, Rome, Morgan, Sheffield, Pierpont, Dorset, Cherry Valley, North Kingsville, Richmond, Williamsfield, Wayne, Hartsgrove, Geneva-On-The-Lake, Rock Creek, Roaming Shores.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Analysis of vehicle actions immediately prior to impact shows that the majority of units (1,765, or 62.4%) were moving straight ahead. The next most common pre-crash actions were slowing or being stopped in traffic (301 units) and making a left turn (222 units).
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (93 total) not shown: Entering Traffic Lane, Other/Unknown, Driverless, Leaving Traffic Lane, Making U-Turn, Other Non-Motorist, Walking; Running; Jogging; Playing, Standing, Entering or Crossing Specified Location, Approaching or Leaving Vehicle.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · 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 1,039 crashes or 56.2% of the total. Among multi-vehicle collisions, angle crashes were most common (358 incidents, 19.4%), followed by rear-end collisions (254 incidents, 13.7%).
Manner of Collision
"Other" combines 2 smaller categories (23 records): Other/Unknown (21), Rear-to-rear (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, with 1,311 units, followed by sport utility vehicles (627 units) and pickup trucks (431 units). Commercial vehicles, including semi-tractors and single-unit trucks, were involved in approximately 7.0% of the recorded vehicle incidents.
Vehicle Type
"Other" combines 16 smaller categories (179 records): Single Unit Truck (44), Unknown or Hit/Skip (41), Van (9-15 Seats) (24), Other Vehicle (13), Animal with Rider or Animal Drawn Vehicle (11), All Terrain Vehicle (ATV/UTV) (9), Pedestrian/Skater (9), Farm Equipment (8), Heavy Equipment (6), Bicycle (4), Bus (16+ Passengers) (3), Motorhome (3), Golf Cart (1), Moped or Motorized Bicycle (1), Motorcycle 3 Wheeled (1), Train (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 3,807 individuals involved in crashes, the majority were drivers, accounting for 2,720 people (71.4%). Vehicle occupants (passengers) made up the next largest group with 1,078 individuals (28.3%), while 9 pedestrians were also involved in incidents.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Across all 3,807 people involved in crashes, 3,110 reported no injury. A total of 678 individuals sustained some level of injury, representing 17.8% of all persons involved. This includes 16 fatalities, 80 serious injuries, 347 minor injuries, and 235 possible injuries.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants for whom safety equipment use was documented, 3,038 were reported as using a shoulder and lap belt. However, 247 individuals were recorded as using no safety restraints at all, accounting for 7.2% of this group. An additional 167 individuals were secured by a child restraint system or booster seat.
Occupant Safety Equipment
"Other" combines 3 smaller categories (46 records): Lap Belt Only Used (25), Helmet Used (20), Lighting - Pedestrian / Bicycle Only (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The data shows a nearly even split between single-vehicle and two-vehicle crashes. Single-vehicle incidents accounted for 911 crashes (49.3%), while two-vehicle collisions numbered 896 (48.5%). Crashes involving three or more vehicles were far less common, with only 41 such incidents recorded, including one crash that involved six vehicles.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · 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 2021-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 1,848
- Total persons involved: 3,807
- Total vehicles involved: 2,830
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: 2021." Published July 6, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2021-annual-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: 2021-01-01 – 2021-12-31
Generated: July 6, 2026 · All rights reserved