ThatCarHitMe.com
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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
541 CRASHES IN
OHIO, OH
2021
In 2021, Wyandot County recorded 541 traffic crashes, resulting in 7 fatalities and 146 injuries. A significant finding from the data is the high prevalence of animal-related collisions, which accounted for 216 incidents, or approximately 40% of all crashes in the county. The majority of these, 207 crashes, involved deer.
541
Total Crash Events
7
Persons Killed
146
Persons Injured
2.2%
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
12
Hit-and-Run Crashes — 2021
There were 12 crashes classified as hit-and-run incidents, representing 2.2% of all crashes in the county. This determination is based on the initial assessment made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
Motorists accounted for all 7 fatalities and the vast majority of injuries, with 143 motorists injured. There were no pedestrian or cyclist fatalities recorded. Three pedestrians were injured in crashes during this period, while no cyclists were reported as injured.
0
Pedestrians Killed
7
Motorists Killed
3
Pedestrians Injured
143
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 peaked on Fridays, with 94 incidents recorded. The single busiest hour for crashes was 6 a.m., which saw 45 collisions. Analysis of lighting conditions shows that while 259 crashes occurred in daylight, a slightly larger number, 279 crashes, happened in dark, dawn, or dusk conditions, with 183 of those occurring on unlighted roadways.
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, 431 out of 541 (79.7%), resulted in no injuries. The remaining 20.3% of incidents involved some level of injury or were fatal. There were 6 distinct fatal crashes recorded, which collectively resulted in 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
Most crashes occurred in favorable conditions, with 331 (61.2%) in clear weather and 412 (76.2%) on dry road surfaces. However, a majority of crashes, 279 out of 541 (51.6%), took place in non-daylight hours. Adverse weather was a factor in a smaller number of incidents, including 36 crashes in rain and 27 in 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 916 people involved in crashes, the 26-34 age group was the most represented, with 149 individuals. The most frequent vehicle makes involved in collisions were Chevrolet (129 vehicles), Ford (126 vehicles), and Dodge (60 vehicles).
Top Vehicle Makes (733 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
9 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (906 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 for most crashes, 443 incidents, occurred on the roadway. A notable portion of crashes were run-off-road events, with 94 incidents having their first harmful event off the primary travel lanes. This includes 39 on the shoulder, 34 on the roadside, 16 outside the trafficway, and 5 in the median.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (2 records): Other/Unknown (1), 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
The vast majority of vehicles involved in crashes were at locations with no traffic control device present, accounting for 621 of the 730 vehicles where this was recorded. By comparison, 56 vehicles were involved in crashes at locations with a stop sign and 52 were 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 driver actions cited as contributing to crashes, the most common was 'Drove off Road,' noted for 75 vehicles. This was followed by 'Failure to Yield' (42 vehicles), 'Following too Close / ACDA' (39 vehicles), and 'Improper Backing' (30 vehicles).
Driver Contributing Factor
Showing top 9 of 18 reported. 9 additional (38 total) not shown: Improper Turn, Improper Lane Change, Improper Passing, Not Discernible, Operating Defective Equipment, Improper Start From a Parked Position, Ran Red Light, Lying in 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 71 commercial trucks were involved in crashes during this period. Of these, the majority (63 vehicles) were semi-tractor trailers, while the remaining 8 were classified as other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Data shows 14 crashes involved motorcyclists, pedestrians, or bicyclists. Of these, 3 crashes involved vulnerable road users, specifically 2 pedestrians and 1 bicyclist. The remaining 11 crashes in this category involved motorcyclists.
Animal-Involved Crashes
Collisions with animals were a significant factor, accounting for 216 of the 541 total crashes (39.9%). The vast majority of these incidents, 207 crashes, involved deer, while 9 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 28 crashes, representing 5.2% of the total. Alcohol was suspected in 15 of these cases, drugs were suspected in 10 cases, and a combination of alcohol and drugs was suspected in 3 cases.
Driver Condition
Among 701 drivers involved in crashes, 43 were recorded with a physical or mental condition other than 'Apparently Normal'. This included 16 drivers noted as being under the influence of medications, drugs, or alcohol, and 13 drivers who were reported as having fallen asleep, fainted, or been fatigued.
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
For the 701 drivers involved in crashes, a specific distraction was identified for 32 of them. The most frequently noted distraction was an unspecified issue inside the vehicle (15 drivers), followed by a distraction outside the vehicle (8 drivers). Manually operating, talking on, or another activity with an electronic device was cited for a total of 7 drivers.
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
The roadway was straight and level for 424 of the 541 crashes. However, roadway geometry played a role in some incidents, with 53 crashes (9.8%) occurring on a curve and 83 crashes (15.3%) occurring 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 Upper Sandusky had the highest number with 129 crashes. This was followed by the townships of Crane (65 crashes), Pitt (59 crashes), and Salem (56 crashes).
Top Cities
Showing top 9 of 18 reported. 9 additional (65 total) not shown: Mifflin, Marseilles, Eden, Ridge, Jackson, Kirby, Wharton, Nevada, Harpster.
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 prior to a crash was driving straight ahead, which was the case for 496 of the 733 vehicles involved. Other frequent pre-crash actions included slowing or stopping in traffic (48 vehicles), backing (34 vehicles), and making a left turn (30 vehicles).
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (27 total) not shown: Entering Traffic Lane, Leaving Traffic Lane, Other/Unknown, Entering or Crossing Specified Location, Driverless, Walking; Running; Jogging; Playing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The predominant crash type was single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 371 of 541 crashes (68.6%). For crashes involving multiple vehicles, angle collisions were the most common type with 62 incidents, followed by rear-end collisions with 42 incidents.
Manner of Collision
"Other" combines 2 smaller categories (4 records): Other/Unknown (3), Rear-to-rear (1).
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 285 units. Sport Utility Vehicles (171 units) and Pick up trucks (138 units) were the next most frequent. Commercial vehicles, including 69 semi-tractors and 10 single-unit trucks, were also involved in incidents.
Vehicle Type
"Other" combines 8 smaller categories (23 records): Cargo Van (8), Unknown or Hit/Skip (4), Pedestrian/Skater (3), Other Vehicle (3), Heavy Equipment (2), Motorhome (1), Bicycle (1), All Terrain Vehicle (ATV/UTV) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 916 individuals involved in crashes, the majority were drivers, accounting for 701 people (76.5%). Vehicle occupants (passengers) were the second-largest group with 212 individuals (23.1%), while 3 pedestrians were also involved.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Out of 916 people involved in crashes, 153 sustained an injury or were killed, representing 16.7% of all individuals. The data includes 7 fatalities, 40 serious injuries, 71 minor injuries, and 35 possible injuries. The remaining 757 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
Among vehicle occupants for whom safety equipment use was recorded, 738 people were reported as using both a shoulder and lap belt. However, 46 individuals were documented as using no safety equipment, and an additional 32 used only a shoulder belt.
Occupant Safety Equipment
"Other" combines 2 smaller categories (6 records): Helmet Used (5), 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
Single-vehicle crashes were the most frequent type, with 353 incidents making up 65.2% of the total. Two-vehicle crashes accounted for another 185 incidents (34.2%), while only 3 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: 541
- Total persons involved: 916
- Total vehicles involved: 733
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