ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · JULY 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/july-2025-report
Monthly Traffic Safety Analysis
20,310 CRASHES IN
OHIO, OH
JULY 2025
In July 2025, Ohio recorded 20,310 total crashes, a 7.1% increase from the 18,959 crashes reported in July 2024. Despite the rise in overall collisions, the number of fatalities decreased by 10.6%, from 104 to 93, over the same period. Total reported injuries saw a smaller increase of 4.3%, rising from 7,779 to 8,110.
20,310
▲ 7.1%was 18,959
Total Crash Events
93
▼ -10.6%was 104
Persons Killed
8,110
▲ 4.3%was 7,779
Persons Injured
3,481
▲ 4.1%was 3,345
Hit-and-Run Crashes
Note: "Persons Killed" (93) counts individual fatalities across all crash events. "Fatal" in the severity table below (87) 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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data indicates a rising trend in total traffic incidents, with crashes increasing by 7.1% from 18,959 in July 2024 to 20,310 in July 2025. While the overall volume of crashes and injuries (up 4.3%) increased, total fatalities saw a notable decrease of 10.6%, dropping from 104 to 93.
3,481
Hit-and-Run Crashes — July 2025
▲ 4.1% vs prior (3,345)
The absolute number of hit-and-run incidents increased from 3,345 in July 2024 to 3,481 in July 2025. However, because total crashes increased at a faster pace, the hit-and-run rate as a percentage of all crashes saw a slight decrease. The rate trended down from 17.6% in the prior year to 17.1% in the current period.
Vulnerable Road User Casualties
16
Pedestrians Killed
77
Motorists Killed
186
Pedestrians Injured
7,924
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · 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 broadly consistent year-over-year, with Wednesday being the peak day for collisions in both July 2025 (3,598 crashes) and July 2024 (3,498 crashes). However, the peak hour for crashes shifted one hour later, from 3 p.m. in the prior year (1,636 crashes) to 4 p.m. in the current period (1,811 crashes). The afternoon commute hours consistently represented the time with the highest crash frequency in both years.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity of crashes showed a downward trend from July 2024 to July 2025. The proportion of fatal crashes dropped from 0.5% to 0.4% of all incidents, and the fatal crash rate per 100 crashes decreased from 0.52 to 0.43. Similarly, the share of serious injury crashes fell from 3.2% to 2.6%. Correspondingly, the proportion of non-injury crashes increased from 71.3% to 72.4% of the total.
Severity is per crash event (most severe injury). 87 fatal crash events resulted in 93 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of crashes across different environmental conditions saw a slight shift year-over-year. The proportion of collisions occurring in clear weather decreased from 72.5% to 70.7%, while crashes in rain increased from 7.5% to 9.2% of the total. This corresponds with a rise in crashes on wet road surfaces, which accounted for 13.7% of incidents in July 2025 compared to 11.3% in July 2024. The percentage of crashes occurring in daylight remained stable at approximately 77% for both periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field
Vehicles & Demographics
The top four vehicle makes involved in crashes—Chevrolet, Ford, Honda, and Toyota—remained consistent between July 2024 and July 2025, with all four showing an increase in total incidents. The distribution of persons involved in crashes by age group also showed a stable pattern, with the 26-34 age bracket being the most represented in both periods (6,787 individuals in 2024 and 7,145 in 2025). The number of individuals involved in crashes increased across all reported age groups, reflecting the overall rise in collisions.
Top Vehicle Makes (37,160 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records
2,920 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (44,502 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-07-01 through 2025-07-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,310
- Total persons involved: 46,826
- Total vehicles involved: 37,160
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: July 2025." Published July 5, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/july-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: 2025-07-01 – 2025-07-31
Generated: July 5, 2026 · All rights reserved