ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · FEBRUARY 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/february-2025-report
Monthly Traffic Safety Analysis
216 CRASHES IN
OHIO, OH
FEBRUARY 2025
In February 2025, Allen County recorded 216 total crashes, a 6.1% decrease from the 230 crashes reported in February 2024. The total number of injuries also fell from 67 to 53. The most significant year-over-year change was the elimination of serious injury crashes, which dropped from 7 in the prior period to 0 in the current period.
216
▼ -6.1%was 230
Total Crash Events
0
Persons Killed
53
▼ -20.9%was 67
Persons Injured
25
▼ -34.2%was 38
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 · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends in Allen County improved year-over-year. Total crashes decreased by 6.1%, from 230 in February 2024 to 216 in February 2025. The number of people injured in these incidents also saw a significant decline of 20.9%, falling from 67 to 53, while fatalities remained at zero in both periods.
25
Hit-and-Run Crashes — February 2025
▼ -34.2% vs prior (38)
Hit-and-run incidents decreased significantly in February 2025 compared to the previous year. The total number of hit-and-run crashes fell by 34.2%, from 38 to 25. The hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also trended downward, dropping from 16.5% in February 2024 to 11.6% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
52
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods. In February 2025, the highest number of crashes occurred on Tuesdays and Thursdays (37 each), a change from February 2024 when Friday was the peak day with 67 crashes. The peak hour for collisions moved one hour earlier, from 5 p.m. in the prior year (26 crashes) to 4 p.m. in the current year (21 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity improved significantly year-over-year, with zero fatal crashes recorded in either February 2025 or February 2024. Notably, serious injury crashes dropped from 7 in the prior period to 0 in the current period. While the number of minor injury crashes also decreased from 19 to 15, the count of possible injury crashes increased from 20 to 25.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record
Road & Environmental Conditions
The environmental conditions associated with crashes changed notably year-over-year. In February 2025, a smaller proportion of collisions occurred in clear weather (49.5%) and on dry roads (50.9%), compared to 64.8% and 73.5% respectively in February 2024. Conversely, the share of crashes on wet roads increased from 4.3% to 18.5%, and crashes on icy roads more than doubled from 16 to 33. Crashes in daylight conditions remained the majority in both periods, accounting for over 60% of all incidents.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field
Vehicles & Demographics
Passenger Cars, Sport Utility Vehicles, and Pick-ups were the three most common vehicle types in crashes for both periods, with their total counts declining in line with the overall trend. Ford and Chevrolet remained the top two vehicle makes involved in collisions, though Chevrolet's count increased from 52 to 65 year-over-year. Analysis of persons involved shows the 16-20 age group was the most frequently represented in both February 2024 and 2025, although their numbers decreased from 82 to 68.
Top Vehicle Makes (363 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records
20 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (407 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2025-02-01 through 2025-02-28 (28 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 216
- Total persons involved: 426
- Total vehicles involved: 363
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: February 2025." Published July 6, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/february-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: 2025-02-01 – 2025-02-28
Generated: July 6, 2026 · All rights reserved