ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 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/2025-annual-report
Yearly Traffic Safety Analysis
25,111 CRASHES IN
OHIO, OH
2025
In 2025, Franklin County recorded 25,111 total crashes, a 4.0% increase from the 24,156 crashes reported in 2024. While overall crash volume and fatalities rose, the most significant year-over-year change was a 60% increase in pedestrian fatalities, which grew from 20 in 2024 to 32 in 2025. The total number of injuries remained relatively stable, with a minor 0.4% decrease.
25,111
▲ 4.0%was 24,156
Total Crash Events
103
▲ 15.7%was 89
Persons Killed
10,526
▼ -0.4%was 10,571
Persons Injured
8,298
▲ 4.3%was 7,953
Hit-and-Run Crashes
Note: "Persons Killed" (103) counts individual fatalities across all crash events. "Fatal" in the severity table below (96) 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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic crashes in Franklin County increased by 4.0% from 2024 to 2025, rising from 24,156 to 25,111 incidents. This upward trend was accompanied by a 15.7% increase in total fatalities, from 89 to 103. Conversely, the total number of injuries saw a marginal decrease of 0.4%, from 10,571 to 10,526.
8,298
Hit-and-Run Crashes — 2025
▲ 4.3% vs prior (7,953)
The number of hit-and-run crashes increased from 7,953 in 2024 to 8,298 in 2025, a rise of 4.3%. Despite this increase in the absolute count, the hit-and-run rate as a percentage of all crashes remained nearly unchanged. Hit-and-runs accounted for 33.0% of all crashes in 2025, a negligible increase from the 32.9% rate recorded in 2024, indicating the trend is stable relative to the overall growth in crash volume.
Vulnerable Road User Casualties
32
Pedestrians Killed
71
Motorists Killed
544
Pedestrians Injured
9,982
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained largely consistent year-over-year, with Friday being the peak day for collisions in both 2025 (4,014 crashes) and 2024 (3,942 crashes). However, the peak hour for crashes shifted slightly earlier, moving from the 5 p.m. hour in 2024 (1,995 crashes) to the 4 p.m. hour in 2025 (2,056 crashes). Weekday afternoon commute hours continued to be the period with the highest concentration of incidents in both years.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes increased from 2024 to 2025, with the fatal crash rate rising from 0.34% to 0.38%. The number of fatal crashes grew from 83 to 96 year-over-year. Despite the rise in total crashes, the proportion of collisions resulting in any level of injury decreased from 31.3% in 2024 to 30.0% in 2025. Consequently, no-injury crashes constituted a larger share of the total, increasing from 68.3% to 69.6%.
Severity is per crash event (most severe injury). 96 fatal crash events resulted in 103 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Environmental conditions during crashes remained broadly similar between 2024 and 2025. The majority of collisions in both periods occurred in clear weather (65.0% in 2025 vs. 65.8% in 2024) and during daylight hours (64.3% vs. 63.4%). Crashes on dry road surfaces also accounted for a consistent majority, representing 76.6% of incidents in 2025 compared to 78.0% in 2024. There were no significant shifts in the proportion of crashes occurring under adverse conditions.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The types of vehicles involved in crashes showed a stable distribution year-over-year, with Passenger Cars, Sport Utility Vehicles, and Pick-up trucks being the three most common types in both 2024 and 2025. In terms of vehicle makes, Honda remained the most frequently involved brand, increasing from 6,387 vehicles in 2024 to 6,589 in 2025. The top rankings saw a minor shift, with Chevrolet (5,294 vehicles) overtaking Ford (5,234 vehicles) for the second-most common make in 2025.
Top Vehicle Makes (49,556 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
7,956 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (55,489 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 25,111
- Total persons involved: 61,516
- Total vehicles involved: 49,556
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: 2025." Published July 6, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2025-annual-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: 2025-01-01 – 2025-12-31
Generated: July 6, 2026 · All rights reserved