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
1,116 CRASHES IN
OHIO, OH
2021
In 2021, Knox County recorded 1,116 total traffic crashes, resulting in 5 fatalities and 347 injuries. A notable finding from the data is that over half of all crashes (51.5%) were single-vehicle incidents not involving a collision with another vehicle in transport. These incidents often correspond with factors such as running off the road or striking a fixed object.
1,116
Total Crash Events
5
Persons Killed
347
Persons Injured
7.7%
Hit-and-Run Rate
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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
86
Hit-and-Run Crashes — 2021
During this period, 86 crashes were classified as hit-and-run incidents, accounting for 7.7% of all crashes in the county. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.
Vulnerable Road User Casualties
In 2021, all 5 fatalities and the vast majority of injuries (346 out of 347) were sustained by motorists. One pedestrian was injured in a crash during this period. There were no recorded fatalities or injuries involving bicyclists.
0
Pedestrians Killed
5
Motorists Killed
1
Pedestrians Injured
346
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 Knox County peaked on Fridays, which saw 171 incidents over the year. The single busiest hour for crashes was the 5 p.m. evening commute, with 85 crashes recorded. Despite these peaks, a majority of collisions, 688 out of 1,116 (61.7%), occurred during daylight hours.
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 were property-damage-only, with 77.4% (864 incidents) resulting in no injuries. The remaining 22.6% of crashes involved at least one injury. There were 5 fatal crashes recorded, which resulted in a total of 5 fatalities, indicating one death per fatal crash.
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
A substantial majority of crashes occurred under favorable environmental conditions. Specifically, 77.6% of crashes took place on dry roads, 61.7% happened in daylight, and 53.5% were in clear weather. Adverse conditions were less frequent, with 83 crashes occurring during rain and 56 crashes during snow.
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 2,283 people involved in crashes, the 26-34 age group was the most represented, with 346 individuals. The 16-20 age group followed closely with 333 individuals. Of the 1,730 vehicles involved, the most frequent makes were Ford (298 vehicles), Chevrolet (293 vehicles), and Honda (168 vehicles).
Top Vehicle Makes (1,730 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
62 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,225 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 (834, or 74.7%) was on the roadway itself. However, a significant portion of incidents were run-off-road events, with 232 crashes (20.8%) having their first harmful event occur on the roadside, shoulder, or in the median, indicating a loss of vehicle control.
Crash Location (First Harmful Event)
"Other" combines 1 smaller categories (1 records): 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
Analysis of the 1,730 vehicles involved in crashes shows that the majority were at locations without traffic controls. Specifically, 1,380 vehicles, or 79.8%, were in crashes where no traffic control device was present. In contrast, 202 vehicles (11.7%) were involved in crashes at locations with a traffic signal.
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, driving off the road was the most common with 185 instances. This was followed by following too closely, which was a factor for 162 vehicles, and failure to yield, cited for 145 vehicles. These three actions represent the most frequent driver errors leading to crashes.
Driver Contributing Factor
Showing top 9 of 21 reported. 12 additional (122 total) not shown: Improper Lane Change, Ran Red Light, Improper Passing, Ran Stop Sign, Not Discernible, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Vision Obstruction, Stopped or Parked Illegally, Opening Door into Roadway, Improper Crossing.
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 42 commercial vehicles were involved in crashes in Knox County in 2021. This included 29 semi-tractor trailers and 13 other types of commercial vehicles. These incidents represent a category with potential for high severity due to vehicle size and weight.
Vulnerable Road Users & Motorcycles
In total, 23 crashes involved motorcyclists or vulnerable road users. Motorcyclists were the most frequently involved group with 20 incidents. Crashes also involved 2 bicyclists and 1 pedestrian.
Animal-Involved Crashes
Collisions with animals accounted for 215 crashes, representing 19.3% of all incidents in the county. The vast majority of these, 202 crashes, were strikes involving deer. An additional 13 crashes involved other, unspecified animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 57 crashes, which constitutes 5.1% of the total for the year. Of these, alcohol was involved in 46 incidents, a combination of alcohol and drugs in 7, and drugs alone in 4. These figures represent a minimum count, as impairment can be under-reported.
Driver Condition
Excluding drivers deemed 'Apparently Normal', 89 drivers were recorded with a specific adverse condition. The most cited condition was being under the influence of medications, drugs, or alcohol (50 drivers). Other noted conditions included fatigue or falling asleep (19 drivers) and emotional distress (8 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, 52 were engaged in a distracting activity. The most common were general distractions from outside the vehicle (18 drivers) or inside the vehicle (14 drivers). Notably, 7 drivers were recorded as manually operating an electronic communication device like a phone.
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
Road geometry played a role in a significant number of crashes. In total, 397 crashes (35.6%) occurred on a grade, while 141 crashes (12.6%) took place on a curve. These conditions can increase the complexity of the driving task and elevate crash risk.
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 within Knox County was concentrated in certain areas. The City of Mount Vernon saw the highest number of incidents, with 363 crashes, accounting for 32.5% of the county's total. The townships of Howard (64 crashes) and Monroe (62 crashes) had the next highest volumes.
Top Cities
Showing top 9 of 30 reported. 21 additional (332 total) not shown: Middlebury, Harrison, Union, Berlin, Fredericktown, Miller, Brown, Morgan, Pike, Wayne, College, Milford, Gambier, Jefferson, Butler, Jackson, Centerburg, Danville, Martinsburg, Apple Valley, Bladensburg.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Of the 1,730 vehicles involved in crashes, a majority (1,181 vehicles or 68.3%) were traveling straight ahead prior to the collision. The next most common pre-crash actions were slowing or stopped in traffic (115 vehicles) and negotiating a curve (104 vehicles).
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (39 total) not shown: Changing Lanes, Other/Unknown, Leaving Traffic Lane, Driverless, Making U-Turn, Other Non-Motorist, Entering or Crossing Specified Location.
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 predominant type of collision, with 575 incidents (51.5%) not involving another vehicle in transport. Among multi-vehicle crashes, angle collisions were the most frequent, accounting for 226 crashes (20.3%), followed by rear-end collisions with 160 crashes (14.3%).
Manner of Collision
"Other" combines 2 smaller categories (11 records): Head-on (8), Rear-to-rear (3).
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 type of vehicle involved in crashes, with 778 units, followed by Sport Utility Vehicles with 437 units. Together, these two vehicle types constituted 70.2% of the 1,730 vehicles involved in collisions during this period.
Vehicle Type
"Other" combines 13 smaller categories (79 records): Unknown or Hit/Skip (16), Cargo Van (15), Other Vehicle (13), Van (9-15 Seats) (8), Bus (16+ Passengers) (7), All Terrain Vehicle (ATV/UTV) (5), Animal with Rider or Animal Drawn Vehicle (5), Farm Equipment (4), Bicycle (2), Motorhome (1), Heavy Equipment (1), Pedestrian/Skater (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 2,283 individuals involved in traffic crashes, the majority were drivers (1,669 people, or 73.1%). Passengers, or occupants, made up the next largest group with 612 individuals (26.8%). A small fraction of those involved were pedestrians (2 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 2,269 people with a recorded injury status, 15.5% (352 individuals) sustained some level of injury. This included 5 fatalities, 34 serious injuries, and 223 minor injuries. The majority of people involved in crashes, 1,917 individuals, were not injured.
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 while a majority of occupants were restrained, 152 individuals (6.7% of all people involved) were recorded as using no safety equipment at all. Another 158 individuals had unknown restraint usage. The most common restraint used was a shoulder and lap belt, reported for 1,843 people.
Occupant Safety Equipment
"Other" combines 3 smaller categories (21 records): Helmet Used (11), Lap Belt Only Used (9), Protective Pads Used (Elbow; knees; etc.) (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 distribution of crashes was almost evenly divided between single-vehicle and two-vehicle incidents. There were 540 single-vehicle crashes (48.4% of total) and 542 two-vehicle crashes (48.6% of total). Multi-vehicle crashes involving three or more units were less common, with 34 such incidents recorded.
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: 1,116
- Total persons involved: 2,283
- Total vehicles involved: 1,730
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