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
1,127 CRASHES IN
OHIO, OH
2021
In 2021, Guernsey County recorded 1,127 traffic crashes, resulting in 7 fatalities and 303 injuries. A notable finding from the data is the high prevalence of single-vehicle crashes, with animal strikes alone, primarily involving deer, accounting for 221 incidents, or nearly 20% of all crashes.
1,127
Total Crash Events
7
Persons Killed
303
Persons Injured
10.5%
Hit-and-Run Rate
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) 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
118
Hit-and-Run Crashes — 2021
There were 118 hit-and-run incidents recorded in 2021, accounting for 10.5% of all crashes in Guernsey County. This designation is based on the responding officer's initial assessment at the crash scene.
Vulnerable Road User Casualties
Motorists accounted for the largest number of casualties, with 5 individuals killed and 301 injured in 2021. Critically, two pedestrians were killed and another two were injured in traffic crashes. No cyclists were killed or injured during this period.
2
Pedestrians Killed
5
Motorists Killed
2
Pedestrians Injured
301
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
Crashes occurred most frequently on Wednesdays (178 incidents) and Fridays (177 incidents). The single busiest hour for crashes was 2 p.m., with 81 events. While a majority of crashes happened in daylight (669 incidents), a substantial number, 346 crashes, occurred on unlit roadways after dark.
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 vast majority of crashes, 79.1% (892 incidents), resulted in no injuries. Collisions involving injuries accounted for 20.9% of the total, while 7 crashes (0.6%) were fatal. These 7 fatal crashes resulted in a total of 7 fatalities.
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
Most crashes occurred in favorable conditions, with 75.6% on dry roads and 54.7% in clear weather. Crashes in daylight accounted for 59.4% of the total (669 incidents). However, adverse conditions were also a factor, with 211 crashes on wet roads and 115 occurring during rain.
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
Among the 2,149 people involved in crashes, the 26-34 age group was the most represented demographic, with 327 individuals. The most frequent vehicle makes involved in these incidents were Ford (272 vehicles), Chevrolet (261 vehicles), and Honda (128 vehicles).
Top Vehicle Makes (1,659 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
95 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,041 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 (777 incidents) was on the roadway itself. However, a significant number of incidents were run-off-road events, with 296 crashes (26.3% of the total) occurring on the roadside, shoulder, or in the median.
Crash Location (First Harmful Event)
"Other" combines 3 smaller categories (8 records): Other/Unknown (4), On ramp (2), Railway grade crossing (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The majority of vehicles involved in crashes were at locations with no traffic control devices, accounting for 1,376 vehicle involvements. For comparison, 167 vehicles were involved in crashes at locations with traffic signals and 103 at intersections with stop signs.
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 assigned to drivers, unsafe speed was the most common, cited for 237 vehicles. This was followed by following too closely (123 vehicles) and failure to yield (117 vehicles).
Driver Contributing Factor
Showing top 9 of 22 reported. 13 additional (110 total) not shown: Not Discernible, Improper Backing, Swerving to Avoid, Load shifting/Falling/Spilling, Ran Stop Sign, Improper Passing, Ran Red Light, Stopped or Parked Illegally, Vision Obstruction, Wrong Way, Improper Crossing, Improper Start From a Parked Position, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
Commercial trucks were involved in 155 instances, representing 9.3% of all vehicles in crashes. Of these, 111 were semi-tractor trailers and 44 were other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
In 2021, crashes involved 13 motorcyclists, 4 pedestrians, and 1 bicyclist. The 5 crashes involving pedestrians and bicyclists are of particular concern due to the high risk of severe injury in such incidents.
Animal-Involved Crashes
Collisions with animals were a significant factor, comprising 221 incidents or 19.6% of all crashes in the county. The vast majority of these, 206 crashes, involved deer, highlighting a specific local traffic hazard.
Impairment (Alcohol / Drugs)
Impairment was identified as a contributing factor in 74 crashes, representing 6.6% of the total. These incidents included 53 crashes linked to alcohol, 17 to drugs, and 4 involving a combination of both.
Driver Condition
Beyond impairment, other driver conditions were noted in official reports. These included 15 drivers who reportedly fell asleep or were fatigued and 67 drivers who were under the influence of medications, drugs, or alcohol.
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 the 1,585 drivers involved in crashes, at least 58 were noted as being distracted. The most frequently recorded distractions were non-specific distractions inside the vehicle (23 drivers) and outside the vehicle (14 drivers). Seven drivers were documented as manually operating an electronic 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 road segments, a notable portion happened on more complex geometry. Crashes on curves accounted for 22.8% of the total (257 incidents), and 36.6% of crashes (412 incidents) occurred on a grade.
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 Cambridge recorded the highest number with 457 incidents, followed by the townships of Jackson (113 crashes) and Center (68 crashes).
Top Cities
Showing top 9 of 26 reported. 17 additional (186 total) not shown: Wheeling, Richland, Madison, Millwood, Londonderry, Byesville, Spencer, Jefferson, Monroe, Old Washington, Washington, Quaker City, Senecaville, Knox, Pleasant City, Kimbolton, Buffalo.
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 action for vehicles immediately prior to a crash was proceeding straight ahead, which was the case for 1,032 vehicles. Other common pre-crash actions included negotiating a curve (153 vehicles) and slowing or being stopped in traffic (113 vehicles).
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (51 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Making U-Turn, Working, Driverless, Standing, Walking; Running; Jogging; Playing, 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
Single-vehicle incidents were the predominant crash type, with 670 crashes (59.4%) not involving a collision with another vehicle in transport. Among multi-vehicle crashes, the most common types were rear-end collisions (140 crashes) and angle collisions (139 crashes).
Manner of Collision
"Other" combines 2 smaller categories (12 records): Backing (10), 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 637 units, followed by Sport Utility Vehicles (406 units) and Pick-up trucks (320 units). Commercial vehicles, including semi-tractors and single-unit trucks, accounted for 177 of the vehicles involved.
Vehicle Type
"Other" combines 12 smaller categories (50 records): Motorcycle 2 Wheeled (15), Cargo Van (9), Other Vehicle (5), All Terrain Vehicle (ATV/UTV) (4), Pedestrian/Skater (4), Farm Equipment (3), Bus (16+ Passengers) (3), Van (9-15 Seats) (2), Motorhome (2), Heavy Equipment (1), Bicycle (1), Moped or Motorized Bicycle (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 2,149 people involved in crashes, the majority were drivers, accounting for 1,585 individuals (73.8%). Passengers comprised 560 individuals (26.1%), while a small number of incidents involved pedestrians (4 people).
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among the 2,149 individuals involved in crashes, 14.4% (310 people) sustained an injury or were killed. This total includes 7 fatalities, 23 serious injuries, and a combined 280 minor or 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
Analysis of safety equipment usage shows that 124 individuals involved in crashes were recorded as not using any form of restraint. In contrast, 1,746 people were documented as using a shoulder and lap belt.
Occupant Safety Equipment
"Other" combines 2 smaller categories (18 records): Helmet Used (11), Lap Belt Only Used (7).
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
Single-vehicle crashes were the most common scenario, accounting for 55.8% of all incidents (629 crashes). Collisions involving two vehicles were the next most frequent type, with 468 occurrences, while 30 crashes involved three or more 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: 1,127
- Total persons involved: 2,149
- Total vehicles involved: 1,659
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