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
25,463 CRASHES IN
OHIO, OH
NOVEMBER 2025
Total crashes across Ohio rose to 25,463 in November 2025 from 23,628 in November 2024, representing a 7.8% year-over-year increase. This rise in volume was accompanied by a notable increase in crash severity. The most significant year-over-year change was a 21% increase in the number of fatal crashes, which grew from 81 to 98.
25,463
▲ 7.8%was 23,628
Total Crash Events
103
▲ 14.4%was 90
Persons Killed
7,725
▲ 1.2%was 7,635
Persons Injured
3,750
▲ 4.6%was 3,584
Hit-and-Run Crashes
Note: "Persons Killed" (103) counts individual fatalities across all crash events. "Fatal" in the severity table below (98) 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
Traffic collisions showed an upward trend in November 2025 compared to the same month in the prior year. The total number of crashes increased by 7.8%, from 23,628 to 25,463. This trend extended to crash severity, with total fatalities rising 14.4% (from 90 to 103) and total injuries increasing by 1.2% (from 7,635 to 7,725).
3,750
Hit-and-Run Crashes — November 2025
▲ 4.6% vs prior (3,584)
The total number of hit-and-run crashes increased from 3,584 in November 2024 to 3,750 in November 2025. However, due to the overall increase in total collisions, the hit-and-run rate as a percentage of all crashes slightly decreased. In November 2025, hit-and-runs accounted for 14.7% of all incidents, down from a rate of 15.2% in the same month of the previous year.
Vulnerable Road User Casualties
22
Pedestrians Killed
81
Motorists Killed
265
Pedestrians Injured
7,460
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 weekly pattern of crashes shifted year-over-year, with the peak day for collisions moving from Friday (4,576 crashes) in November 2024 to Monday (4,144 crashes) in November 2025. The peak hour for crashes, however, remained consistent at 6 PM in both periods. The volume of collisions during this peak hour increased slightly from 2,200 to 2,306.
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
The severity of crashes worsened year-over-year, with a notable increase in fatal outcomes. Fatal crashes rose from 81 (0.3% of total) to 98 (0.4% of total), and the number of people killed increased from 90 to 103. In contrast, the proportion of crashes resulting in non-fatal injuries (Serious, Minor, or Possible) decreased slightly, accounting for 21.4% of incidents in November 2025 compared to 22.9% in the prior year.
Severity is per crash event (most severe injury). 98 fatal crash events resulted in 103 persons killed.
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
Year-over-year analysis of crash conditions reveals a significant shift related to winter weather. The proportion of crashes occurring on snow-covered roads increased from 1.7% to 6.9% of the total, while crashes in snowy weather rose from 4.2% to 9.8% of all incidents. Correspondingly, the share of crashes on wet roads decreased from 29.2% to 21.6%. The distribution of crashes by lighting conditions remained stable between the two 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 and types of vehicles involved in crashes remained largely consistent year-over-year, with Chevrolet, Ford, and Honda being the top three makes in both periods. Kia entered the top five makes in November 2025, displacing Nissan from the prior year's ranking. The distribution of involved persons by age group also showed stability, with the 26-34 and 35-44 age brackets consistently representing the largest cohorts in both years.
Top Vehicle Makes (43,547 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-11-01 to 2025-11-30 · Vehicle unit records
3,486 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (52,032 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 5, 2026
Data Coverage
- Reporting period: 2025-11-01 through 2025-11-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 25,463
- Total persons involved: 54,934
- Total vehicles involved: 43,547
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 5, 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 5, 2026 · All rights reserved