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
247 CRASHES IN
OHIO, OH
JUNE 2025
In June 2025, Allen County recorded 247 total vehicle crashes, a 6.1% decrease from the 263 crashes reported in June 2024. The most notable year-over-year change was a significant reduction in crashes involving a driver under the influence (DUI), which fell from 11 incidents in the prior period to 5 in the current period.
247
▼ -6.1%was 263
Total Crash Events
0
Persons Killed
88
▼ -14.6%was 103
Persons Injured
36
▼ -29.4%was 51
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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
Overall, traffic safety trends in Allen County showed improvement in June 2025 compared to the same month in the prior year. Total crashes decreased by 6.1%, falling from 263 to 247. This downward trend was also reflected in the number of injuries, which declined by 14.6% from 103 to 88.
36
Hit-and-Run Crashes — June 2025
▼ -29.4% vs prior (51)
There was a positive trend regarding hit-and-run incidents in June 2025 compared to the previous year. The total number of hit-and-run crashes decreased by 29.4%, from 51 in June 2024 to 36 in June 2025. This improvement was also reflected in the hit-and-run rate, which fell from 19.4% to 14.6% of all crashes.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
87
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 timing of crashes showed some shifts between the two periods. The peak day for crashes moved from Friday (44 crashes) in June 2024 to Monday (48 crashes) in June 2025. However, the peak hour for collisions remained consistent, occurring at 4 p.m. in both years, with 22 crashes in the current period and 23 in the prior period.
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
Crash severity improved in June 2025 compared to the previous year, with zero fatal crashes reported in either period. The proportion of crashes resulting in serious injury decreased from 4.2% (11 crashes) to 3.2% (8 crashes). Similarly, minor injury crashes saw a notable drop, accounting for 8.9% of collisions this year compared to 15.6% last year, while the share of no-injury crashes increased from 72.2% to 78.5%.
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
The majority of crashes in both periods occurred in clear weather on dry roads during daylight hours. However, there was a proportional shift towards less favorable conditions in June 2025. Crashes on wet roads increased from 14.4% to 17.8% of the total, and the share of crashes occurring on dark, unlit roadways grew from 11.4% in the prior year to 16.6% in the current period.
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 types of vehicles involved in crashes remained stable year-over-year, with Passenger Cars, Sport Utility Vehicles, and Pickups being the most common in both periods. Ford, Chevrolet, and Honda were the top three vehicle makes involved in crashes for both June 2025 and June 2024, although the number of vehicles from each make decreased in the current period. Analysis of persons involved shows a shift in age distribution; the 16-20 age group was the largest in the prior year (99 persons), while the 26-34 age group was the largest in the current year (95 persons).
Top Vehicle Makes (432 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records
35 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (551 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 6, 2026
Data Coverage
- Reporting period: 2025-06-01 through 2025-06-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 247
- Total persons involved: 583
- Total vehicles involved: 432
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 6, 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 6, 2026 · All rights reserved