ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MARCH 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/march-2025-report
Monthly Traffic Safety Analysis
193 CRASHES IN
OHIO, OH
MARCH 2025
In March 2025, Allen County recorded 193 total crashes, a 3% decrease from the 199 crashes reported in March 2024. Despite the overall decline in collisions, the number of injuries rose by 20.3%, from 59 to 71. Notably, there were no fatalities in March 2025, compared to one fatality in the same month of the previous year.
193
▼ -3.0%was 199
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
71
▲ 20.3%was 59
Persons Injured
28
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 · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic collisions in Allen County saw a slight year-over-year decline in March. The total number of crashes fell by 3%, from 199 in March 2024 to 193 in March 2025. However, this decrease in total crashes was accompanied by a 20.3% increase in total injuries, which grew from 59 to 71.
28
Hit-and-Run Crashes — March 2025
▼ 0.0% vs prior (28)
The number of hit-and-run crashes in Allen County remained unchanged year-over-year, with 28 incidents reported in both March 2024 and March 2025. However, due to a decrease in the total number of collisions, the hit-and-run rate saw a slight increase. These incidents accounted for 14.5% of all crashes in March 2025, up from 14.1% in the prior year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
2
Pedestrians Injured
69
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes in Allen County shifted significantly between March 2024 and March 2025. The peak day for collisions moved from Friday, with 48 crashes in the prior year, to Monday, with 43 crashes in the current period. Similarly, the peak hour for crashes changed from the afternoon at 2 p.m. (22 crashes) to the morning commute at 7 a.m. (20 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
In March 2025, Allen County reported zero fatal crashes, a decrease from one fatal crash in March 2024. While the number of serious injury crashes remained unchanged at four, there was a shift in other injury categories. The proportion of crashes resulting in minor injuries increased from 8.0% to 9.8% year-over-year, and the total number of people injured rose from 59 to 71 despite fewer overall crashes.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record
Road & Environmental Conditions
Crashes on wet roads increased in March 2025, accounting for 35 incidents (18.1% of total) compared to 28 incidents (14.1% of total) in the prior year. Collisions in rainy conditions also rose from 18 to 25. The proportion of crashes occurring in daylight decreased from 66.8% to 62.7%, while incidents on unlit dark roadways increased from 30 to 35.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained Ford, Chevrolet, and Honda, with only minor year-over-year fluctuations in their counts. Analysis of persons involved shows an increase in the 16-20 age group, from 63 to 67 individuals, while involvement of persons aged 65 and older decreased from 62 to 48. The number of SUVs and pickup trucks involved in collisions declined, from 79 to 64 and 50 to 42, respectively.
Top Vehicle Makes (320 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records
23 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (393 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2025-03-01 through 2025-03-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 193
- Total persons involved: 415
- Total vehicles involved: 320
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: March 2025." Published July 6, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/march-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: 2025-03-01 – 2025-03-31
Generated: July 6, 2026 · All rights reserved