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
3,062 CRASHES IN
OHIO, OH
2021
In 2021, Allen County experienced 3,062 traffic crashes, which resulted in 25 fatalities and 1,203 injuries. A substantial majority of these incidents, 73.2%, resulted in no physical injuries. Analysis of driver behavior indicates that 'Following too Close' was the most frequently cited contributing factor, noted in 579 instances.
3,062
Total Crash Events
25
Persons Killed
1,203
Persons Injured
16.1%
Hit-and-Run Rate
Note: "Persons Killed" (25) counts individual fatalities across all crash events. "Fatal" in the severity table below (23) 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
492
Hit-and-Run Crashes — 2021
In 2021, 492 crashes in Allen County were classified as hit-and-run incidents, accounting for 16.1% of all crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
In 2021, motorists accounted for the largest number of casualties, with 19 individuals killed and 1,181 injured in crashes. Vulnerable road users also faced significant danger, with 6 pedestrians killed and another 22 injured. There were no cyclist fatalities or injuries reported in the dataset for this period.
6
Pedestrians Killed
19
Motorists Killed
22
Pedestrians Injured
1,181
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 patterns in Allen County show distinct temporal trends, with Fridays being the most frequent day for crashes (504 incidents). The afternoon commute period from 3 p.m. to 4 p.m. was the peak hour, with 264 crashes. A majority of collisions, 1,922 out of 3,062, 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 in Allen County, 73.2% (2,240 incidents), resulted in no injuries. Crashes involving an injury of any severity accounted for 26.1% of the total. There were 23 distinct fatal crashes, which resulted in a total of 25 fatalities, indicating that some crashes involved more than one death.
Severity is per crash event (most severe injury). 23 fatal crash events resulted in 25 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 in Allen County occurred in what would be considered ideal driving conditions. Approximately 76.7% of crashes (2,350) happened on dry roads, 63.5% (1,943) in clear weather, and 62.8% (1,922) during daylight hours. Crashes in adverse weather included 286 in rain and 102 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
Analysis of the 6,765 persons involved in crashes shows that the 16-20 age group was the most represented, with 1,023 individuals, followed by the 26-34 age group with 974 individuals. Among the 5,255 vehicles involved, the most frequent makes were Ford (963 vehicles), Chevrolet (845 vehicles), and Dodge (411 vehicles).
Top Vehicle Makes (5,255 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
426 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,427 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 majority of crashes, 2,553 incidents, had their first harmful event occur on the main roadway. However, a notable number were run-off-road events, with a combined 361 incidents (11.8% of total) occurring on the roadside, shoulder, or in the median. These crashes often indicate a loss of vehicle control.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (19 records): Off ramp (9), Railway grade crossing (5), On ramp (3), On Gore (2).
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 related to the 5,255 vehicles in crashes shows a majority, 3,400 units, were at locations with no traffic control device present. Signalized intersections were associated with 1,245 vehicles involved in crashes, while locations with stop signs were associated with 477 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 common contributing factor cited for drivers was 'Following too Close / ACDA,' attributed in 579 instances. This was followed by 'Failure to Yield' with 514 instances and 'Drove off Road' with 290 instances. Other significant factors included 'Unsafe Speed' (125 instances) and 'Improper Backing' (121 instances).
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (390 total) not shown: Ran Stop Sign, Not Discernible, Left of Center, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Stopped or Parked Illegally, Vision Obstruction, Opening Door into Roadway, 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
Crashes involving commercial trucks accounted for 246 incidents, or approximately 8.0% of all crashes in Allen County. Of these, 191 crashes involved a semi-tractor trailer, while the remaining 55 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
In 2021, there were 86 crashes involving vulnerable road users or motorcyclists. This total includes 46 crashes with motorcyclists, 27 with pedestrians, and 13 with bicyclists. Combined, crashes involving pedestrians and bicyclists, the most vulnerable road users, totaled 40 incidents.
Animal-Involved Crashes
Collisions with animals were a significant factor, accounting for 404 crashes, or 13.2% of the total in Allen County. The vast majority of these incidents, 382 crashes, involved collisions with deer. An additional 22 crashes were attributed to collisions with other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a documented factor in 153 crashes, representing 5% of all incidents in the county. Among these, alcohol was suspected in 98 cases, drugs were suspected in 33 cases, and a combination of both was suspected in 22 cases. These figures represent a baseline, as impairment can be under-reported in crash data.
Driver Condition
Beyond 'Apparently Normal,' several specific driver conditions were noted at the time of crashes. A total of 123 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 39 drivers were reported as having fallen asleep or being fatigued, and 37 were noted as emotional (e.g., depressed, angry, disturbed).
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
While most drivers were not reported as distracted, specific distractions were identified for 259 drivers. The most common issues were 'Other distraction inside the vehicle' (100 drivers) and 'Other distraction outside the vehicle' (72 drivers). Use of electronic devices was also a factor, with 43 drivers manually operating a device and 24 engaged in another electronic device activity.
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 roads, roadway geometry played a role in a portion of incidents. Crashes on curves accounted for 211 incidents (6.9% of the total). Roadways with a grade were the site of 226 crashes, representing 7.4% of all crashes.
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 Allen County is concentrated in a few key areas. The City of Lima saw the highest number of crashes with 1,173, representing 38.3% of the county's total. The townships of American (398 crashes), Bath (347 crashes), and Shawnee (304 crashes) followed as the next most frequent locations for incidents.
Top Cities
Showing top 9 of 23 reported. 14 additional (328 total) not shown: Amanda, Delphos, Jackson, Monroe, Bluffton, Spencer, Elida, Spencerville, Fort Shawnee, Harrod, Beaverdam, Westminster, Cairo, Lafayette.
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 prior to collision shows that the majority of vehicles (2,992, or 57.0%) were proceeding straight ahead. The next most common pre-crash action was 'Slowing or Stopped In Traffic,' which applied to 705 vehicles. 'Making Left Turn' was the third most frequent action, recorded for 427 vehicles involved in crashes.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (162 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Other Non-Motorist, Entering or Crossing Specified Location, Driverless, Making U-Turn, 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
The most common type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 1,277 crashes or 41.7% of the total. Among multi-vehicle crashes, angle collisions were the most frequent type with 693 incidents (22.6%), followed by rear-end collisions with 573 incidents (18.7%).
Manner of Collision
"Other" combines 2 smaller categories (73 records): Backing (65), Rear-to-rear (8).
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 2,660 of the 5,255 total vehicles (50.6%). Sport Utility Vehicles (1,099 vehicles) and Pick-up trucks (683 vehicles) were the next most frequent. Commercial vehicles, including semi-tractors and other trucks, were involved in 313 crashes.
Vehicle Type
"Other" combines 14 smaller categories (208 records): Single Unit Truck (49), Motorcycle 2 Wheeled (45), Pedestrian/Skater (29), Van (9-15 Seats) (15), Other Vehicle (15), Bicycle (13), Bus (16+ Passengers) (10), Moped or Motorized Bicycle (9), Heavy Equipment (9), Farm Equipment (5), Motorcycle 3 Wheeled (3), Motorhome (2), Golf Cart (2), All Terrain Vehicle (ATV/UTV) (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 6,765 individuals involved in crashes, the majority (4,917, or 72.7%) were drivers. Passengers, referred to as 'occupants' in the data, constituted the second-largest group with 1,819 individuals (26.9%). A smaller but critical group involved were pedestrians, with 29 individuals recorded in crash reports.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Examining the outcomes for all 6,765 people involved in crashes, the majority (5,451 individuals, or 80.6%) sustained no apparent injury. A total of 1,203 people, or 17.8%, suffered some level of injury, ranging from possible to serious. The crashes resulted in 25 fatalities, which is approximately 0.4% of all individuals involved.
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
Safety equipment usage was documented for most vehicle occupants. While 5,539 individuals were reported as using a shoulder and lap belt, a notable 318 individuals were recorded as using no safety restraints at all. Use of a child restraint system or booster seat was reported for 237 occupants.
Occupant Safety Equipment
"Other" combines 3 smaller categories (47 records): Helmet Used (25), Lap Belt Only Used (21), 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 most common crash scenario involved two vehicles, accounting for 1,915 incidents (62.5% of the total). Single-vehicle crashes were also frequent, with 1,017 incidents, making up 33.2% of all crashes. Multi-vehicle crashes involving three or more vehicles were less common, with 112 incidents involving three vehicles and 18 incidents involving four.
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: 3,062
- Total persons involved: 6,765
- Total vehicles involved: 5,255
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