ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · SEPTEMBER 2025
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/september-2025-report
Monthly Traffic Safety Analysis
270 CRASHES IN
OHIO, OH
SEPTEMBER 2025
In September 2025, Allen County recorded 270 total crashes, a 17.4% increase from the 230 crashes documented in September 2024. The number of people injured also rose from 79 to 108 year-over-year. The most significant change was the increase in traffic fatalities, with five deaths reported in the current period compared to zero in the prior year's period.
270
▲ 17.4%was 230
Total Crash Events
5
Persons Killed
108
▲ 36.7%was 79
Persons Injured
26
▼ -18.8%was 32
Hit-and-Run Crashes
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Allen County show an increase in September 2025 compared to the previous year. Total crashes rose by 17.4%, from 230 to 270. Similarly, the number of people injured increased by 36.7% from 79 to 108, and fatalities increased from zero to five.
26
Hit-and-Run Crashes — September 2025
▼ -18.8% vs prior (32)
Hit-and-run incidents decreased in September 2025 compared to the same month in 2024. The total number of hit-and-run crashes fell from 32 to 26. The hit-and-run rate, which measures the percentage of total crashes that were hit-and-runs, also declined from 13.9% in the prior period to 9.6% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
5
Motorists Killed
1
Pedestrians Injured
107
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between September 2024 and September 2025. The peak day for crashes moved from Wednesday (42 crashes) in the prior period to Monday (51 crashes) in the current period. The peak hour for collisions also shifted earlier in the day, from 4 p.m. (22 crashes) to 1 p.m. (26 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity worsened in September 2025, with four fatal crashes resulting in five deaths, compared to zero fatal crashes the previous year. The proportion of crashes involving any injury (fatal, serious, minor, or possible) increased from 23.9% to 27.0% year-over-year. This was driven by a rise in serious injury crashes from 3 to 8 and minor injury crashes from 25 to 35.
Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record
Road & Environmental Conditions
Crashes in September 2025 occurred in generally clearer conditions compared to the same month in 2024. The proportion of crashes on wet roads decreased from 19.1% to 7.0%, and incidents during rain fell from 14.3% to 6.3% of all crashes. However, the share of crashes occurring on unlighted dark roadways increased from 10.4% in the prior year to 13.3% in the current period.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field
Vehicles & Demographics
Ford (90 vehicles) and Chevrolet (79 vehicles) were the top two makes involved in crashes in September 2025, swapping positions from the prior year when Chevrolet led Ford 73 to 65. An analysis of persons involved shows a higher representation from the 16-20 age group, which grew from 84 to 109 individuals. Conversely, the number of individuals in the 0-15 age group involved in crashes decreased from 82 to 58.
Top Vehicle Makes (482 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records
27 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (651 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events
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: 2025-09-01 through 2025-09-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2025-09-01 through 2025-09-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 270
- Total persons involved: 670
- Total vehicles involved: 482
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 2025." Published July 6, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/september-2025-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: 2025-09-01 – 2025-09-30
Generated: July 6, 2026 · All rights reserved