ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · FEBRUARY 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/february-2025-report
Monthly Traffic Safety Analysis
20,069 CRASHES IN
OHIO, OH
FEBRUARY 2025
In February 2025, Ohio recorded 20,069 total traffic crashes, a 6.7% increase from the 18,805 crashes reported in February 2024. Despite the rise in total collisions, the number of fatalities decreased by 16.4%, from 73 to 61 year-over-year. This resulted in a lower fatal crash rate, which dropped from 0.38% of all crashes in the prior period to 0.28% in the current period.
20,069
▲ 6.7%was 18,805
Total Crash Events
61
▼ -16.4%was 73
Persons Killed
6,236
▼ -2.0%was 6,362
Persons Injured
3,053
▼ -3.3%was 3,158
Hit-and-Run Crashes
Note: "Persons Killed" (61) counts individual fatalities across all crash events. "Fatal" in the severity table below (57) 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 · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data indicates a rising trend in the total number of crashes, with a 6.7% increase from February 2024 to February 2025, representing an additional 1,264 collisions. However, the outcomes of these crashes trended less severe, with total fatalities decreasing by 16.4% and total injuries declining by 2.0% over the same period.
3,053
Hit-and-Run Crashes — February 2025
▼ -3.3% vs prior (3,158)
The incidence of hit-and-run crashes decreased from February 2024 to February 2025. The total number of hit-and-run incidents fell from 3,158 to 3,053. As a percentage of all crashes, the hit-and-run rate also trended downward, declining from 16.8% in the prior year to 15.2% in the current period.
Vulnerable Road User Casualties
6
Pedestrians Killed
55
Motorists Killed
172
Pedestrians Injured
6,064
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between February 2024 and February 2025. The day with the highest number of crashes moved from Friday (3,801 crashes) in the prior year to Saturday (3,030 crashes) in the current period. The peak hour for collisions also shifted slightly, moving from 4 p.m. in 2024 (1,412 crashes) to 3 p.m. in 2025, which saw a higher peak of 1,559 crashes.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity decreased year-over-year, even as the total number of crashes increased. The proportion of fatal crashes fell from 0.4% to 0.3% of all incidents, with the total number of fatal crashes dropping from 72 to 57. Similarly, serious injury crashes declined as a share of the total, from 2.1% to 1.6%. Consequently, the proportion of non-injury crashes rose from 75.9% in February 2024 to 77.5% in February 2025.
Severity is per crash event (most severe injury). 57 fatal crash events resulted in 61 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record
Road & Environmental Conditions
The proportion of crashes occurring in adverse conditions was significantly higher in February 2025 compared to the previous year. Crashes on dry road surfaces decreased from constituting 78.4% of the total in 2024 to 54.4% in 2025. Correspondingly, collisions on wet, snow-covered, or icy roads all saw their proportions increase, with crashes on wet surfaces rising from 8.1% to 19.7% of all incidents. Despite more crashes occurring in adverse weather, a larger share of incidents happened during daylight hours in 2025 (61.2%) compared to 2024 (57.1%).
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field
Vehicles & Demographics
The types of vehicles involved in crashes remained broadly consistent year-over-year, with Passenger Cars and Sport Utility Vehicles being the most common in both periods. The top vehicle makes also showed stability, with Chevrolet, Ford, Honda, and Toyota consistently ranking as the top four in both February 2024 and February 2025. There was a notable increase in Semi-Tractors involved in crashes, rising from 850 in the prior year to 1,033 in the current period.
Top Vehicle Makes (34,442 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records
2,729 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (41,054 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-02-01 through 2025-02-28 (28 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,069
- Total persons involved: 43,289
- Total vehicles involved: 34,442
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: February 2025." Published July 5, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/february-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: 2025-02-01 – 2025-02-28
Generated: July 5, 2026 · All rights reserved