ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MARCH 2024
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-2024-report
Monthly Traffic Safety Analysis
199 CRASHES IN
OHIO, OH
MARCH 2024
In March 2024, Allen County recorded 199 total traffic crashes, a 23.8% decrease from the 261 crashes reported in March 2023. This downward trend was accompanied by a significant reduction in injuries, which fell by 39.8% from 98 to 59 year-over-year. While overall numbers improved, crashes involving driving under the influence (DUI) increased from 8 to 13.
199
▼ -23.8%was 261
Total Crash Events
1
Persons Killed
59
▼ -39.8%was 98
Persons Injured
28
▼ -26.3%was 38
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic safety in Allen County showed a positive trend in March 2024 compared to the same month in the prior year. Total crashes decreased by 23.8%, from 261 to 199. Similarly, the number of people injured in these incidents dropped by 39.8% from 98 to 59, while fatalities remained constant at one for both periods.
28
Hit-and-Run Crashes — March 2024
▼ -26.3% vs prior (38)
The number of hit-and-run incidents in Allen County decreased from 38 in March 2023 to 28 in March 2024. Despite this drop in absolute numbers, the hit-and-run rate as a proportion of all crashes remained relatively stable. In March 2024, hit-and-runs constituted 14.1% of all crashes, a slight decrease from the 14.6% rate observed in the same month of the previous year.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Motorists Killed
1
Pedestrians Injured
58
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Allen County shifted between March 2023 and March 2024. While Friday remained the peak day for crashes in both periods (54 in 2023 vs. 48 in 2024), the peak hour changed significantly. The busiest hour for crashes moved from the 8 AM morning commute in 2023, which saw 30 incidents, to the 2 PM afternoon hour in 2024, with 22 incidents.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the total number of crashes decreased, the severity profile showed mixed changes. Both March 2024 and March 2023 recorded one fatal crash, but due to the lower total crash volume in 2024, the fatal crash rate increased from 0.38% to 0.5%. The proportion of crashes involving serious injuries decreased from 3.4% to 2.0% year-over-year. Crashes with no injuries accounted for 78.4% of incidents in March 2024, nearly identical to the 78.5% in the prior year.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions improved significantly in March 2024 compared to the previous year, which may correlate with the overall reduction in crashes. In March 2023, 27.6% of crashes occurred in rain or snow, whereas in March 2024, this figure dropped to just 10.1%. Consequently, the proportion of crashes on dry road surfaces increased from 57.1% in 2023 to 80.9% in 2024. The distribution of crashes by lighting conditions remained relatively stable, with daylight crashes accounting for 66.8% of the total in 2024, up from 61.3% in 2023.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field
Vehicles & Demographics
The composition of vehicles involved in crashes remained consistent year-over-year, though the total number of vehicles decreased from 429 to 332. Passenger cars, Sport Utility Vehicles, and Pick-up trucks were the three most common vehicle types in both March 2024 and March 2023. Ford and Chevrolet continued to be the top two vehicle makes involved in collisions, with 60 and 49 vehicles respectively in the current period, down from 97 and 64 in the prior year. The distribution of persons involved in crashes by age group showed no significant shifts between the two periods.
Top Vehicle Makes (332 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records
25 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (431 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2024-03-01 through 2024-03-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 199
- Total persons involved: 451
- Total vehicles involved: 332
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 2024." Published July 6, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/march-2024-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: 2024-03-01 – 2024-03-31
Generated: July 6, 2026 · All rights reserved