ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · JANUARY 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/january-2025-report
Monthly Traffic Safety Analysis
23,724 CRASHES IN
OHIO, OH
JANUARY 2025
In January 2025, Ohio recorded 23,724 total traffic crashes, a 9.1% increase from the 21,743 crashes reported in January 2024. While overall crashes and fatalities rose, the most significant shift was a 19.0% decrease in crashes involving driving under the influence (DUI), which fell from 949 to 769 incidents year-over-year.
23,724
▲ 9.1%was 21,743
Total Crash Events
70
▲ 6.1%was 66
Persons Killed
6,723
▼ -0.6%was 6,761
Persons Injured
3,632
▲ 0.4%was 3,618
Hit-and-Run Crashes
Note: "Persons Killed" (70) counts individual fatalities across all crash events. "Fatal" in the severity table below (64) 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 · 2025-01-01 to 2025-01-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data from January 2025 indicates a rising trend compared to the same month in the prior year, with total crashes increasing by 9.1% from 21,743 to 23,724. While total crashes increased, total injuries remained relatively stable with a slight 0.6% decrease from 6,761 to 6,723. Fatalities saw a 6.1% increase from 66 to 70 deaths.
3,632
Hit-and-Run Crashes — January 2025
▲ 0.4% vs prior (3,618)
The total number of hit-and-run crashes remained nearly unchanged, with 3,632 incidents in January 2025 compared to 3,618 in January 2024. However, because total crashes increased overall, the hit-and-run rate as a percentage of all crashes decreased. The rate fell from 16.6% in the prior year to 15.3% in the current year, indicating a downward trend in the proportion of crashes classified as hit-and-run.
Vulnerable Road User Casualties
8
Pedestrians Killed
62
Motorists Killed
166
Pedestrians Injured
6,557
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Temporal patterns shifted year-over-year. In January 2025, the peak day for crashes was Friday with 5,283 incidents, a change from January 2024 when Tuesday was the peak day with 4,044 crashes. The peak hour also moved earlier, from 6 PM in the prior year (1,598 crashes) to 3 PM in the current year (1,969 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The crash severity profile shifted slightly between January 2024 and January 2025. The fatal crash rate per 100 crashes saw a minor decrease from 0.29 to 0.27. The proportion of crashes resulting in any level of injury decreased from 22.4% of all crashes in the prior year to 20.5% in the current year. Correspondingly, the share of non-injury crashes increased from 77.3% to 79.3% of the total.
Severity is per crash event (most severe injury). 64 fatal crash events resulted in 70 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Most severe injury per crash record
Road & Environmental Conditions
The environmental conditions associated with crashes shifted between the two periods. In January 2025, a higher proportion of crashes occurred in clear weather (44.7% vs. 31.2%) and on dry roads (47.8% vs. 42.1%) compared to January 2024. Crashes involving snow also increased as a share of the total, accounting for 26.6% of weather-related incidents and 27.0% of road surface conditions, up from 16.7% and 15.1% respectively. Lighting conditions remained broadly similar, with daylight crashes making up the majority in both periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Road surface condition field
Vehicles & Demographics
The demographics of vehicles and persons involved in crashes remained consistent year-over-year. The top three vehicle makes involved in collisions were Chevrolet, Ford, and Honda in both January 2025 and January 2024, with all three seeing an increase in total counts. The age distribution of individuals involved in crashes also showed little change, with the 26-34 age group constituting the largest single cohort in both periods, at 16.3% in the current year and 16.0% in the prior year.
Top Vehicle Makes (41,059 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · Vehicle unit records
3,287 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (47,834 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-01-31 · 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: 2025-01-01 through 2025-01-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-01-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 23,724
- Total persons involved: 50,537
- Total vehicles involved: 41,059
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: January 2025." Published July 5, 2026. Reporting period: 2025-01-01 to 2025-01-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/january-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: 2025-01-01 – 2025-01-31
Generated: July 5, 2026 · All rights reserved