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
21,609 CRASHES IN
OHIO, OH
SEPTEMBER 2025
In September 2025, Ohio recorded 21,609 total traffic crashes, a 2.3% increase from the 21,119 crashes reported in September 2024. While the overall crash volume saw a modest rise, the number of fatalities increased significantly. There were 133 fatalities in September 2025, representing a 37.1% increase compared to the 97 fatalities in the same month of the prior year.
21,609
▲ 2.3%was 21,119
Total Crash Events
133
▲ 37.1%was 97
Persons Killed
8,567
▲ 4.6%was 8,187
Persons Injured
3,615
▲ 1.4%was 3,566
Hit-and-Run Crashes
Note: "Persons Killed" (133) counts individual fatalities across all crash events. "Fatal" in the severity table below (124) 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 data for September indicates an upward trend in traffic incidents and their severity compared to the previous year. Total crashes rose by 2.3% from 21,119 to 21,609 year-over-year. This increase was accompanied by a 4.6% rise in injuries and a more pronounced 37.1% increase in fatalities.
3,615
Hit-and-Run Crashes — September 2025
▲ 1.4% vs prior (3,566)
The total number of hit-and-run crashes saw a minor increase from 3,566 in September 2024 to 3,615 in September 2025. However, as a proportion of all crashes, the hit-and-run rate slightly decreased. The rate was 16.7% in the current period, down from 16.9% in the same month of the previous year.
Vulnerable Road User Casualties
15
Pedestrians Killed
118
Motorists Killed
255
Pedestrians Injured
8,312
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 timing of crashes shifted slightly between September 2024 and September 2025. The peak day for crashes moved from Friday (3,648 crashes) in the prior year to Tuesday (3,809 crashes) in the current period. Similarly, the peak hour for collisions shifted an hour earlier, from 4 p.m. (1,793 crashes) to 3 p.m. (1,856 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 compared to the previous year. Fatal crashes increased from 95 to 124, raising their share of all crashes from 0.4% to 0.6%. While the number of serious injury crashes remained stable (620 vs. 625), the count of minor injury crashes rose from 2,936 to 3,178. Consequently, the proportion of crashes resulting in no injuries decreased from 72.7% to 72.0%.
Severity is per crash event (most severe injury). 124 fatal crash events resulted in 133 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
Driving conditions were generally more favorable in September 2025 compared to the same month in 2024. The proportion of crashes occurring on dry roads increased from 80.1% to 89.0% year-over-year. Correspondingly, crashes in clear weather accounted for 80.1% of the total, up from 68.8% in the prior year, while crashes during rain fell from 14.3% to 6.7% of all incidents. The share of crashes in daylight conditions also saw a slight increase from 70.7% to 72.5%.
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
The demographics of vehicles involved in crashes remained largely consistent year-over-year. The top three vehicle makes involved were Chevrolet, Ford, and Honda in both September 2025 and September 2024, with only minor fluctuations in their counts. Similarly, the age distribution of persons involved in crashes showed no significant shifts; the 26-34 age group constituted the largest segment in both periods, accounting for 15.1% of individuals in the current year and 15.0% in the prior year.
Top Vehicle Makes (40,084 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records
3,244 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (48,086 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 5, 2026
Data Coverage
- Reporting period: 2025-09-01 through 2025-09-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 21,609
- Total persons involved: 50,626
- Total vehicles involved: 40,084
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 5, 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 5, 2026 · All rights reserved