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
1,181 CRASHES IN
OHIO, OH
2021
In 2021, Washington County recorded 1,181 traffic crashes, which resulted in 7 fatalities and 448 injuries. A significant portion of these incidents, 48% (567 crashes), were single-vehicle events not involving a collision with another vehicle in transport. The data also indicates that 6 of the total crashes were fatal, leading to the 7 deaths.
1,181
Total Crash Events
7
Persons Killed
448
Persons Injured
8.5%
Hit-and-Run Rate
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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
100
Hit-and-Run Crashes — 2021
Based on the initial determination of responding officers, 100 crashes in 2021 were classified as hit-and-run incidents. This represents 8.5% of all crashes recorded in Washington County during this period.
Vulnerable Road User Casualties
In 2021, vehicle occupants (motorists) accounted for the largest group of casualties, with 4 killed and 444 injured. Pedestrians represented a significant portion of fatalities, with 3 pedestrians killed and 4 injured in 7 separate crashes. No cyclists were reported killed or injured during this period.
3
Pedestrians Killed
4
Motorists Killed
4
Pedestrians Injured
444
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 occurrences in Washington County peaked on Fridays, with 210 incidents reported in 2021. The most frequent time for crashes was the 3 p.m. hour, which saw 105 events. The majority of crashes, 816 in total, occurred during daylight hours, while 293 crashes happened in dark 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, 71.3% (842 incidents), resulted in no injuries. Crashes involving possible, minor, or serious injuries accounted for 333 incidents combined. There were 6 fatal crashes recorded, which resulted in a total of 7 fatalities, indicating at least one crash involved multiple deaths.
Severity is per crash event (most severe injury). 6 fatal crash events resulted in 7 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 vast majority of crashes occurred in ideal driving conditions, with 77.9% (920 crashes) on dry roads and 63.8% (753 crashes) in clear weather. Similarly, 69.1% of incidents (816 crashes) took place during daylight hours. Crashes in adverse weather included 110 in rain and 45 in snow, while 201 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 the 2,448 people involved in crashes shows the 26-34 age group was the most represented, with 372 individuals, followed closely by the 65+ age group with 342. Among the 1,932 vehicles involved, the most frequent makes were Ford (343 vehicles), Chevrolet (319 vehicles), and Toyota (186 vehicles).
Top Vehicle Makes (1,932 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
84 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,396 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 first harmful event in most crashes, 869 incidents, occurred on the primary roadway. However, a notable 295 crashes, representing approximately 25% of the total, were run-off-road events. These included 226 crashes originating on the roadside and 46 on the shoulder.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (8 records): On Gore (3), Railway grade crossing (2), Off ramp (2), Driveway/Alley access (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls present at crash locations shows that a majority of vehicles involved, approximately 74% (1,423 units), were in areas with no traffic control device. Crashes at signalized intersections involved 345 vehicles, while those at locations with stop signs involved 131 vehicles.
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
The most frequently cited contributing factor for drivers was 'Following too Close / ACDA,' attributed to 240 vehicles. This was followed by 'Failure to Yield' with 172 vehicles and 'Drove off Road' with 150 vehicles. 'Unsafe Speed' was also a significant factor, cited for 123 vehicles involved in crashes.
Driver Contributing Factor
Showing top 9 of 22 reported. 13 additional (110 total) not shown: Operating Defective Equipment, Swerving to Avoid, Improper Turn, Not Discernible, Improper Passing, Ran Stop Sign, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Improper Crossing, Opening Door into Roadway, Stopped or Parked Illegally, Wrong Way.
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 91 commercial trucks were involved in crashes during this period. Of these, 53 were identified as semi-tractor-trailers, while the remaining 38 were classified as other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users and motorcyclists included 30 incidents with motorcyclists, 7 with pedestrians, and 6 with bicyclists. In total, there were 13 crashes involving pedestrians or bicyclists, who are among the most vulnerable users of the roadway.
Animal-Involved Crashes
Collisions with animals accounted for 151 crashes, representing nearly 13% of all incidents in 2021. The vast majority of these, 144 crashes, involved deer. An additional 7 crashes were attributed to collisions with other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 64 crashes, accounting for 5.4% of the total. Among these, alcohol was suspected in 36 incidents, drugs in 18, and a combination of alcohol and drugs in 10. These figures represent a baseline, as impairment can be under-reported.
Driver Condition
Beyond those noted as 'Apparently Normal', 111 drivers were recorded with a specific condition affecting their ability to drive. The most common was being 'Under the Influence of Medications / Drugs / Alcohol,' noted for 54 drivers. Other conditions included fatigue or falling asleep (23 drivers) and emotional distress (21 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 all drivers, at least 96 were noted as being distracted at the time of their crash. The most cited issues were 'Other distraction inside the vehicle' (46 drivers) and 'Other distraction outside the vehicle' (31 drivers). Electronic device use was specifically mentioned for 16 drivers, including 7 who were manually operating a device.
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 most crashes occurred on straight, level road sections, a significant number happened on more complex alignments. Crashes on curves accounted for 21.3% of all incidents (252 crashes), and 28.1% of crashes occurred on a grade (332 crashes). Crashes at the intersection of these two factors, on a graded curve, totaled 158.
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, with the City of Marietta accounting for 488 crashes, or 41.3% of the county's total. The City of Belpre saw the second-highest volume with 179 crashes, followed by Warren Township with 74 crashes and Muskingum Township with 64.
Top Cities
Showing top 9 of 27 reported. 18 additional (187 total) not shown: Grandview, Aurelius, Adams, Watertown, Decatur, Fearing, Lawrence, Fairfield, Wesley, Beverly, Independence, Palmer, Matamoras, Ludlow, Liberty, Lowell, Devola, Reno.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
The most common pre-crash action for vehicles was 'Straight Ahead,' which described the movement of 970 vehicles (50.2% of the total). The next most frequent actions were 'Slowing or Stopped In Traffic' (274 vehicles) and 'Negotiating a Curve' (230 vehicles).
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (63 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Driverless, Entering or Crossing Specified Location, Walking; Running; Jogging; Playing, Standing Outside Disabled Vehicle, Standing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Single-vehicle crashes were the most common type of incident, with 567 crashes (48% of total) classified as 'Not Collision Between Two Vehicles in Transport'. Among multi-vehicle crashes, rear-end collisions were the most frequent, accounting for 238 incidents (20.2%), followed closely by angle collisions with 235 incidents (19.9%).
Manner of Collision
"Other" combines 2 smaller categories (23 records): Head-on (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, accounting for 851 of the 1,932 vehicles. Sport Utility Vehicles (479 vehicles) and Pick-up trucks (354 vehicles) were also frequently involved. In total, these three types comprised 87% of all vehicles in crashes.
Vehicle Type
"Other" combines 14 smaller categories (100 records): Unknown or Hit/Skip (25), Cargo Van (20), Other Vehicle (15), Pedestrian/Skater (8), Van (9-15 Seats) (6), Bicycle (6), Bus (16+ Passengers) (5), Motorhome (3), Train (3), Heavy Equipment (3), All Terrain Vehicle (ATV/UTV) (2), Farm Equipment (2), Limo (Livery Vehicle) (1), Motorcycle 3 Wheeled (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 2,448 individuals involved in crashes, the vast majority were drivers, accounting for 1,833 people (74.9%). Passengers ('occupants') comprised the next largest group with 606 individuals (24.8%). A total of 9 pedestrians were also involved in these traffic 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 2,448 people involved in crashes, 7 suffered fatal injuries and 448 sustained some level of injury (serious, minor, or possible). This means that approximately 18.8% of all individuals involved were either injured or killed. The largest group, 1,968 people, reported no 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
While the majority of vehicle occupants (2,028 individuals) were recorded as using a shoulder and lap belt, 136 individuals were reported as using no safety equipment at all. This group of unbelted occupants represents 5.6% of all participants for whom safety equipment use was documented.
Occupant Safety Equipment
"Other" combines 2 smaller categories (27 records): Shoulder Belt Only Used (15), Lap Belt Only Used (12).
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 most common crash configuration involved two vehicles, accounting for 649 incidents (55.0% of the total). Single-vehicle crashes were also frequent, with 484 incidents making up 41.0% of all crashes. There were 48 crashes involving three or more vehicles, including one incident that involved five 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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 1,181
- Total persons involved: 2,448
- Total vehicles involved: 1,932
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 5, 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 5, 2026 · All rights reserved