ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · NOVEMBER 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/november-2025-report
Monthly Traffic Safety Analysis
331 CRASHES IN
OHIO, OH
NOVEMBER 2025
In November 2025, Allen County recorded 331 vehicle crashes, a 1.5% increase from the 326 crashes reported in November 2024. The most significant year-over-year change was a decrease in traffic fatalities, which fell from four in the prior period to zero in the current period. While total crashes were stable, the number of injuries also saw a slight decrease from 94 to 93.
331
▲ 1.5%was 326
Total Crash Events
0
▼ -100.0%was 4
Persons Killed
93
▼ -1.1%was 94
Persons Injured
37
▼ -5.1%was 39
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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 · 2025-11-01 to 2025-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash totals in Allen County remained relatively stable year-over-year, with a slight increase from 326 incidents in November 2024 to 331 in November 2025. While total crashes rose by 1.5%, the number of injuries decreased slightly from 94 to 93, and fatalities dropped from four to zero.
37
Hit-and-Run Crashes — November 2025
▼ -5.1% vs prior (39)
The number of hit-and-run incidents decreased slightly in November 2025 compared to the same month in 2024. There were 37 hit-and-run crashes recorded, down from 39 in the prior year. This corresponds to a small drop in the hit-and-run rate, which fell from 12.0% of all crashes in November 2024 to 11.2% in November 2025.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
2
Pedestrians Injured
91
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · 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 November 2024 and November 2025. The day with the most crashes changed from Friday (57 crashes) to Saturday (73 crashes). The peak hour for collisions also moved earlier in the day, from 5 p.m. in the prior period (33 crashes) to 3 p.m. in the current period (29 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity decreased significantly in November 2025 compared to the previous year. Fatal crashes dropped from three incidents, representing 0.9% of the total, in November 2024 to zero. The proportion of crashes resulting in any type of injury also fell from a combined 20.8% in the prior period to 17.3% in the current period, with a corresponding increase in the share of no-injury crashes from 78.2% to 82.8%.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Most severe injury per crash record
Road & Environmental Conditions
The environmental conditions during crashes shifted year-over-year, with a notable increase in incidents related to winter weather. Crashes in snowy conditions increased from 9 to 36, and those on snowy or icy road surfaces rose from a combined 5 incidents to 35. Conversely, crashes in rainy conditions decreased from 41 to 17, with a corresponding drop in collisions on wet roads from 78 to 49. The proportion of crashes occurring in daylight remained stable at approximately 48% for both periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes showed some changes between the two periods. While Ford remained the most common make, its involvement decreased from 103 vehicles to 93. Chevrolet and Honda saw increases, with Chevrolet rising from 70 to 90 vehicles and Honda from 39 to 50. Analysis of persons involved shows a higher representation of younger age groups in November 2025, with the 16-20 and 21-25 age groups accounting for 14.1% and 13.1% of individuals, up from 12.3% and 10.6% respectively in the prior year.
Top Vehicle Makes (531 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Vehicle unit records
35 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (654 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · 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: 2025-11-01 through 2025-11-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2025-11-01 through 2025-11-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 331
- Total persons involved: 688
- Total vehicles involved: 531
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: November 2025." Published July 6, 2026. Reporting period: 2025-11-01 to 2025-11-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/november-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: 2025-11-01 – 2025-11-30
Generated: July 6, 2026 · All rights reserved