ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · DECEMBER 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/december-2025-report
Monthly Traffic Safety Analysis
26,533 CRASHES IN
OHIO, OH
DECEMBER 2025
In December 2025, Ohio recorded 26,533 traffic crashes, a 16.4% increase from the 22,794 crashes reported in December 2024. The most significant year-over-year change was a 35.9% increase in crashes where speeding was a factor, which rose from 2,554 to 3,470 incidents. Overall fatalities increased from 69 to 83 in the same period.
26,533
▲ 16.4%was 22,794
Total Crash Events
83
▲ 20.3%was 69
Persons Killed
7,777
▲ 6.2%was 7,320
Persons Injured
4,118
▲ 13.3%was 3,633
Hit-and-Run Crashes
Note: "Persons Killed" (83) counts individual fatalities across all crash events. "Fatal" in the severity table below (75) 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 · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Comparing December 2025 to December 2024, the overall trend shows a rise in traffic incidents across the state. Total crashes increased by 16.4%, from 22,794 to 26,533. Concurrently, total fatalities rose from 69 to 83, and the number of individuals injured increased from 7,320 to 7,777.
4,118
Hit-and-Run Crashes — December 2025
▲ 13.3% vs prior (3,633)
The number of hit-and-run incidents increased from 3,633 in December 2024 to 4,118 in December 2025. However, due to the overall increase in total crashes, the hit-and-run rate as a percentage of all crashes saw a slight decrease. The rate fell from 15.9% in the prior period to 15.5% in the current period, indicating a small downward trend in the proportion of crashes that are classified as hit-and-runs.
Vulnerable Road User Casualties
15
Pedestrians Killed
68
Motorists Killed
187
Pedestrians Injured
7,590
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 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 consistent year-over-year. The peak time for collisions in both December 2025 and December 2024 was the 5 p.m. hour, which saw 2,288 and 2,038 crashes respectively. Tuesday was the most frequent day for crashes in both periods, accounting for 5,198 crashes in the current period and 3,867 in the prior period.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The distribution of crash severity shifted slightly between the two periods. While the number of fatal crashes increased from 65 to 75, the fatal crash rate per 100 crashes decreased marginally from 0.29 to 0.28. The proportion of crashes resulting in any type of injury (serious, minor, or possible) decreased from 22.8% in December 2024 to 20.8% in December 2025, corresponding with an increase in the share of no-injury crashes from 76.9% to 78.9%.
Severity is per crash event (most severe injury). 75 fatal crash events resulted in 83 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · Most severe injury per crash record
Road & Environmental Conditions
A notable shift in crash conditions occurred year-over-year, primarily related to weather. Crashes on snowy or icy road surfaces increased from a combined 2,444 in December 2024 to 7,365 in December 2025. Consequently, the proportion of total crashes occurring on these surfaces rose from 10.7% to 27.8%. The distribution of crashes by lighting conditions remained relatively stable, with daylight crashes accounting for 48.5% in the current period compared to 47.4% in the prior period.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The primary vehicle makes involved in crashes remained consistent, with Chevrolet, Ford, and Honda being the top three in both December 2025 and December 2024. The number of vehicles from these makes involved in crashes increased, but their rank order did not change. The age distribution of persons involved in crashes also showed stability, with the 26-34 age group representing the largest cohort in both periods, at 9,161 individuals in 2025 and 7,922 in 2024.
Top Vehicle Makes (46,075 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 to 2025-12-31 · Vehicle unit records
3,804 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (54,000 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-12-01 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: 2025-12-01 through 2025-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-12-01 through 2025-12-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 26,533
- Total persons involved: 57,268
- Total vehicles involved: 46,075
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: December 2025." Published July 5, 2026. Reporting period: 2025-12-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/december-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: 2025-12-01 – 2025-12-31
Generated: July 5, 2026 · All rights reserved