ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · SEPTEMBER 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/september-2024-report
Monthly Traffic Safety Analysis
230 CRASHES IN
OHIO, OH
SEPTEMBER 2024
In September 2024, Allen County recorded 230 total traffic crashes, a 3.6% increase from the 222 crashes documented in September 2023. While overall crashes rose slightly, the number of crashes involving a suspected DUI driver doubled from 4 to 8 year-over-year. There were no fatalities reported in either period.
230
▲ 3.6%was 222
Total Crash Events
0
Persons Killed
79
▼ -1.3%was 80
Persons Injured
32
▼ -27.3%was 44
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 · 2024-09-01 to 2024-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year crash data for September indicates a slight increase in total collisions in Allen County, rising from 222 in 2023 to 230 in 2024. Despite this 3.6% rise in crashes, the total number of injuries remained nearly stable, decreasing by one from 80 to 79. No fatalities were recorded in either September period.
32
Hit-and-Run Crashes — September 2024
▼ -27.3% vs prior (44)
The number of hit-and-run incidents in Allen County decreased in September 2024 compared to the same month in 2023. The total count of hit-and-run crashes fell from 44 to 32. This represents a downward trend, as the hit-and-run rate also declined from 19.8% of all crashes in the prior year to 13.9% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
2
Pedestrians Injured
77
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · 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 between September 2023 and September 2024. The peak day for collisions moved from Friday (41 crashes) in the prior year to a tie between Tuesday and Wednesday (42 crashes each) in the current period. Similarly, the peak hour for crashes shifted from the 3 p.m. hour, which saw 26 crashes in 2023, to the 4 p.m. hour with 22 crashes in 2024.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity outcomes improved in September 2024 compared to the previous year, with no fatalities reported in either period. The number of serious injury crashes was halved, dropping from 6 to 3 year-over-year, and their proportion of total crashes fell from 2.7% to 1.3%. While possible injury crashes increased from 20 to 27, the combined count of serious and minor injury crashes decreased from 36 to 28.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · Most severe injury per crash record
Road & Environmental Conditions
Crashes occurred under more adverse weather and road conditions in September 2024 compared to the prior year. The number of collisions happening in the rain more than doubled from 16 to 33, and crashes on wet road surfaces increased from 21 to 44. Consequently, the proportion of crashes on wet roads rose from 9.5% to 19.1% of all incidents year-over-year.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · Road surface condition field
Vehicles & Demographics
Analysis of vehicles involved shows a shift in the top makes, with Chevrolet becoming the most common vehicle in crashes (73), up from 55 the previous year, surpassing Ford, which decreased from 77 to 65. Demographically, there was a significant increase in the number of younger people involved in collisions. The number of persons in the 0-15 age group nearly doubled from 44 to 82, and involvement for the 16-20 age group grew from 67 to 84 individuals.
Top Vehicle Makes (408 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · Vehicle unit records
35 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (540 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-09-01 to 2024-09-30 · 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: 2024-09-01 through 2024-09-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2024-09-01 through 2024-09-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 230
- Total persons involved: 567
- Total vehicles involved: 408
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: September 2024." Published July 6, 2026. Reporting period: 2024-09-01 to 2024-09-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/september-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: 2024-09-01 – 2024-09-30
Generated: July 6, 2026 · All rights reserved