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An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · SEPTEMBER 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.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/september-2021-report
Monthly Traffic Safety Analysis
274 CRASHES IN
OHIO, OH
SEPTEMBER 2021
In September 2021, Allen County recorded 274 total traffic crashes, resulting in one fatality and 106 injuries. The majority of these incidents, 71.9%, resulted in no injuries. Analysis of temporal patterns shows that Wednesday was the most frequent day for crashes, accounting for 66 of the month's total incidents.
274
Total Crash Events
1
Persons Killed
106
Persons Injured
18.6%
Hit-and-Run Rate
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2021-09-01 to 2021-09-30 · Aggregate counts from crash, person, and vehicle records
51
Hit-and-Run Crashes — September 2021
During this period, 51 crashes were classified as hit-and-run incidents, representing 18.6% of all crashes in Allen 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
During this period, one motorist was killed and 104 motorists were injured in crashes. Among vulnerable road users, two pedestrians were injured, and no pedestrians were killed. No bicyclists were reported as killed or injured in any crashes.
0
Pedestrians Killed
1
Motorists Killed
2
Pedestrians Injured
104
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences in Allen County peaked on Wednesdays, which saw 66 incidents, and during the 4 p.m. hour, with 31 crashes. A significant portion of crashes, 193 out of 274, occurred during daylight hours. The morning commute from 7 a.m. to 8 a.m. also represented a period of elevated crash frequency, with a combined 35 incidents.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 274 crashes, 71.9% (197 incidents) were property-damage-only, with no reported injuries. The remaining crashes involved possible (13.5%), minor (11.7%), or serious (2.6%) injuries. One crash was classified as fatal, accounting for 0.4% of all incidents. The total number of fatalities may differ from the number of fatal crashes, as a single crash can result in multiple deaths, though in this period one crash resulted in one fatality.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Most severe injury per crash record
Road & Environmental Conditions
The vast majority of crashes occurred in ideal driving conditions. Specifically, 77.7% of crashes (213) happened in clear weather, 85.0% (233) on dry road surfaces, and 70.4% (193) in daylight. Crashes in adverse conditions included 33 in rain and 41 on wet roads.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Road surface condition field
Vehicles & Demographics
Among the 625 people involved in crashes, the 16-20 age group was the most represented, with 112 individuals. Analysis of the 492 vehicles involved shows the most frequent makes were Ford (104 vehicles), Chevrolet (86 vehicles), and Dodge (44 vehicles). Passenger cars were the most common vehicle type, accounting for 242 of the vehicles in collisions.
Top Vehicle Makes (492 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records
40 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (592 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The initial point of impact for most crashes was on the primary travel lanes, with 230 incidents occurring 'On Roadway'. A notable portion, 31 crashes, were classified as run-off-road events. These included 20 crashes on the roadside, 6 on the shoulder, and 5 in the median.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (2 records): On ramp (1), Driveway/Alley access (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records
Traffic Control Device
Analysis of traffic controls at crash locations indicates that a majority of vehicles (304 of 492) were involved in crashes at locations with 'No Control'. Crashes at signalized intersections involved 118 vehicles. Locations with stop signs accounted for crashes involving 47 vehicles.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records
Driver Contributing Factor
The most frequently cited contributing factor for drivers was 'Following too Close / ACDA', attributed to 57 vehicles. This was followed by 'Failure to Yield' for 46 vehicles and 'Drove off Road' for 22 vehicles. Other notable factors included running a red light (14 vehicles) and running a stop sign (11 vehicles).
Driver Contributing Factor
Showing top 9 of 16 reported. 7 additional (35 total) not shown: Not Discernible, Left of Center, Improper Passing, Operating Defective Equipment, Improper Lane Change, Swerving to Avoid, Stopped or Parked Illegally.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records
Commercial / Truck Involvement
A total of 28 commercial trucks were involved in crashes during this period. Of these, 23 were identified as semi-tractor-trailers and 5 were classified as other types of commercial vehicles.
Impairment (Alcohol / Drugs)
Impairment was a factor in 14 crashes, accounting for 5.1% of all incidents. Among these, alcohol was suspected in 9 cases and drugs were suspected in 5 cases. These figures represent a minimum, as impairment can be under-reported in crash data.
Driver Condition
Beyond 'Apparently Normal', several driver conditions were noted at the time of the crashes. Twelve drivers were reported as being under the influence of medications, drugs, or alcohol. Additionally, 6 drivers were noted as emotional, 3 were reported to have fallen asleep or been fatigued, and 3 had a physical impairment.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events
Driver Distraction
A total of 32 drivers were noted as being distracted. The most common distraction was 'Manually operating an electronic communication device,' which was cited for 11 drivers. Other specified distractions included 9 drivers distracted by something outside the vehicle and 8 distracted by something inside the vehicle.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events
Road Alignment
The majority of crashes (244) occurred on straight, level road segments. Crashes on curves accounted for 14 incidents, while crashes on graded sections of roadway accounted for 20 incidents. Specifically, 10 crashes were on a level curve and 4 were on a graded curve.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records
Top Cities
The geographic distribution of crashes was concentrated in a few key areas, with the city of Lima accounting for 124 crashes, or 45.3% of the county's total. The next most frequent locations were American with 40 crashes (14.6%), Shawnee with 28 crashes (10.2%), and Bath with 25 crashes (9.1%).
Top Cities
Showing top 9 of 21 reported. 12 additional (18 total) not shown: Amanda, Marion, Monroe, Spencerville, Delphos, Spencer, Harrod, Beaverdam, Lafayette, Fort Shawnee, Cairo, Bluffton.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records
Pre-Crash Driver Action
Prior to impact, the most common action for vehicles was driving 'Straight Ahead,' which described the action of 273 vehicles (55.5% of total). The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' noted for 76 vehicles (15.4%). Making a left turn was the action for 40 vehicles involved in collisions.
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (12 total) not shown: Changing Lanes, Entering Traffic Lane, Leaving Traffic Lane, Walking; Running; Jogging; Playing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records
Manner of Collision
The most frequent type of crash was a single-vehicle incident, classified as 'Not Collision Between Two Vehicles in Transport', accounting for 93 crashes or 33.9% of the total. Among multi-vehicle crashes, angle collisions were the most common, with 68 incidents (24.8%), followed closely by rear-end collisions with 63 incidents (23.0%).
Manner of Collision
"Other" combines 2 smaller categories (4 records): Backing (3), Rear-to-rear (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 242 of the 492 vehicles (49.2%). Sport Utility Vehicles were the second most common with 92 vehicles involved, followed by 70 pickup trucks. In total, 28 commercial trucks and buses were involved in collisions during this period.
Vehicle Type
"Other" combines 11 smaller categories (25 records): Motorcycle 2 Wheeled (6), Other Vehicle (4), Van (9-15 Seats) (3), Single Unit Truck (3), Pedestrian/Skater (2), Moped or Motorized Bicycle (2), Golf Cart (1), Bicycle (1), Farm Equipment (1), Bus (16+ Passengers) (1), Motorcycle 3 Wheeled (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records
Person Type
Of the 625 individuals involved in crashes, the majority (454 people, or 72.6%) were drivers. Vehicle occupants accounted for another 169 individuals (27.0%). Two pedestrians were also involved in crashes during this period.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records
Person Injury Severity
Across all 625 people involved in crashes, 514 individuals (82.2%) sustained no injuries. A total of 106 people were injured, including 10 with serious injuries, 47 with minor injuries, and 49 with possible injuries. One person sustained fatal injuries.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash-level records
Occupant Safety Equipment
The majority of vehicle occupants, 491 individuals, were reported as using a shoulder and lap belt. However, a notable 47 people, representing 7.5% of all crash participants, were recorded as using no safety equipment. An additional 20 occupants were secured by a child restraint system or booster seat.
Occupant Safety Equipment
"Other" combines 2 smaller categories (5 records): Helmet Used (3), Booster Seat (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events
Vehicles Per Crash
The most common crash configuration involved two vehicles, which accounted for 204 of the 274 total incidents (74.5%). Single-vehicle crashes were the next most frequent, with 63 incidents, making up 23.0% of the total. Seven crashes involved three vehicles.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-09-01 to 2021-09-30 · 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: 2021-09-01 through 2021-09-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-09-01 through 2021-09-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 274
- Total persons involved: 625
- Total vehicles involved: 492
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: September 2021." Published July 6, 2026. Reporting period: 2021-09-01 to 2021-09-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/september-2021-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: 2021-09-01 – 2021-09-30
Generated: July 6, 2026 · All rights reserved