ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MAY 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/may-2025-report
Monthly Traffic Safety Analysis
22,190 CRASHES IN
OHIO, OH
MAY 2025
In May 2025, Ohio recorded 22,190 traffic crashes, a slight 0.8% increase from the 22,008 crashes reported in May 2024. Despite the small rise in total incidents, the number of fatalities saw a notable year-over-year decrease. There were 89 fatalities in the current period, down 19.8% from 111 in the prior year, indicating a reduction in crash severity.
22,190
▲ 0.8%was 22,008
Total Crash Events
89
▼ -19.8%was 111
Persons Killed
8,092
▼ -6.7%was 8,672
Persons Injured
86
▼ -15.7%was 102
Fatal Crash Events
Note: "Persons Killed" (89) counts individual fatalities across all crash events. "Fatal" in the severity table below (86) 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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume in Ohio remained relatively stable, increasing by less than 1% from 22,008 in May 2024 to 22,190 in May 2025. However, the severity of these crashes decreased, with total injuries falling by 6.7% from 8,672 to 8,092 and fatalities dropping by 19.8% from 111 to 89. This indicates a trend towards less severe crash outcomes despite a marginal increase in total incidents.
Vulnerable Road User Casualties
16
Pedestrians Killed
73
Motorists Killed
195
Pedestrians Injured
7,897
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · 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, with Friday being the peak day for collisions in both May 2025 (4,107 crashes) and May 2024 (3,990 crashes). The peak hour for crashes shifted slightly from 3 PM in the prior year (1,960 crashes) to 4 PM in the current period (1,920 crashes), though the afternoon commute hours remained the most frequent time for incidents. There was a notable increase in Saturday crashes, which rose from 2,623 to 3,275 year-over-year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes decreased in May 2025 compared to the previous year. The proportion of fatal crashes fell from 0.5% to 0.4% of all incidents, with 86 fatal crashes recorded compared to 102 in May 2024. All categories of injury crashes (Serious, Minor, and Possible) also saw a decrease in both their absolute counts and their share of total crashes. Consequently, the proportion of non-injury crashes increased from 72.6% to 74.3% of the total.
Severity is per crash event (most severe injury). 86 fatal crash events resulted in 89 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record
Road & Environmental Conditions
There was a notable shift in the conditions under which crashes occurred. The proportion of crashes in clear weather decreased from 67.0% in May 2024 to 53.6% in May 2025. Correspondingly, crashes during rain increased significantly, accounting for 18.3% of incidents compared to 11.0% in the prior year. This is reflected in road surface conditions, where crashes on wet roads rose from 16.6% to 26.4% of the total, while lighting conditions remained relatively stable.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent, with Chevrolet (5,667 vehicles) and Ford (5,413 vehicles) leading in May 2025, similar to the prior year. The data reflects a continuing trend in vehicle types, with Sport Utility Vehicles involved in 10,680 crashes compared to 10,220 in the prior year, while Passenger Cars saw a slight decrease from 19,133 to 18,738. The age distribution of persons involved in crashes showed minimal changes, with the 26-34 age group being the largest cohort in both periods.
Top Vehicle Makes (39,961 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records
3,376 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (48,400 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-05-01 through 2025-05-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 22,190
- Total persons involved: 51,022
- Total vehicles involved: 39,961
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: May 2025." Published July 5, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/may-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: 2025-05-01 – 2025-05-31
Generated: July 5, 2026 · All rights reserved