ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · JUNE 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/june-2025-report
Monthly Traffic Safety Analysis
20,612 CRASHES IN
OHIO, OH
JUNE 2025
In June 2025, there were 20,612 total traffic crashes in Ohio, a 6.3% increase from the 19,396 crashes recorded in June 2024. While total crashes and injuries increased, the number of fatalities remained unchanged at 126 for both periods. The most notable shift was the change in the peak day for crashes, which moved from Saturday in the prior year to Monday in the current period, accompanied by a significant increase in crashes occurring in rainy conditions.
20,612
▲ 6.3%was 19,396
Total Crash Events
126
Persons Killed
7,902
▲ 0.9%was 7,834
Persons Injured
3,548
▲ 7.7%was 3,294
Hit-and-Run Crashes
Note: "Persons Killed" (126) counts individual fatalities across all crash events. "Fatal" in the severity table below (113) 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 · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in traffic incidents shows an increase year-over-year. Total crashes rose by 1,216 from June 2024 to June 2025, representing a 6.3% increase. Total injuries saw a marginal rise of 0.9% to 7,902, while fatalities held steady at 126.
3,548
Hit-and-Run Crashes — June 2025
▲ 7.7% vs prior (3,294)
The number of hit-and-run crashes increased by 7.7%, from 3,294 in June 2024 to 3,548 in June 2025. The hit-and-run rate, which measures the proportion of all crashes classified as hit-and-runs, also saw a slight uptick, rising from 17.0% to 17.2% year-over-year.
Vulnerable Road User Casualties
13
Pedestrians Killed
113
Motorists Killed
184
Pedestrians Injured
7,718
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak hour for crashes remained the 4 p.m. hour in both June 2024 (1,588 crashes) and June 2025 (1,805 crashes). However, a significant temporal shift occurred in the peak day of the week. The day with the most crashes moved from Saturday in the prior year (2,955 crashes) to Monday in the current year (3,422 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate decreased from 0.61% to 0.55% year-over-year, with 113 fatal crashes in June 2025 compared to 119 in the prior year. The overall proportion of crashes resulting in any injury (Serious, Minor, or Possible) also declined from a combined 27.9% in June 2024 to 26.3% in June 2025. Consequently, the share of non-injury crashes increased from 71.6% to 73.2% of all incidents.
Severity is per crash event (most severe injury). 113 fatal crash events resulted in 126 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record
Road & Environmental Conditions
There was a notable increase in crashes occurring during adverse weather and road conditions compared to the previous year. In June 2025, crashes during rain accounted for 10.6% of all incidents (2,184 crashes), a substantial rise from 6.0% (1,172 crashes) in June 2024. This corresponds with an increase in crashes on wet road surfaces, which grew from 9.2% to 15.7% of the total. The distribution of crashes by lighting conditions remained consistent between the two periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent, with Chevrolet, Ford, and Honda leading in both periods. The total number of vehicles involved in crashes grew from 34,952 to 37,046, mirroring the overall increase in crash incidents. The age distribution of all persons involved in crashes also remained stable, with each age group's proportional share of involvement showing minimal change from June 2024 to June 2025.
Top Vehicle Makes (37,046 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records
3,006 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (44,270 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-06-01 through 2025-06-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,612
- Total persons involved: 46,719
- Total vehicles involved: 37,046
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: June 2025." Published July 5, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/june-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: 2025-06-01 – 2025-06-30
Generated: July 5, 2026 · All rights reserved