ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · SEPTEMBER 2022
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-2022-report
Monthly Traffic Safety Analysis
249 CRASHES IN
OHIO, OH
SEPTEMBER 2022
In September 2022, Allen County recorded 249 traffic crashes, a 9.1% decrease from the 274 crashes documented in September 2021. While overall crashes and injuries (102, down from 106) declined, the most notable year-over-year shift was a significant increase in fatalities, which rose from one to four.
249
▼ -9.1%was 274
Total Crash Events
4
▲ 300.0%was 1
Persons Killed
102
▼ -3.8%was 106
Persons Injured
46
▼ -9.8%was 51
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic safety data for Allen County shows a mixed trend year-over-year. The total number of crashes decreased by 9.1%, from 274 in September 2021 to 249 in September 2022. However, the severity of outcomes worsened, with total fatalities increasing from one to four during the same period.
46
Hit-and-Run Crashes — September 2022
▼ -9.8% vs prior (51)
The number of hit-and-run crashes saw a slight decrease, falling from 51 in September 2021 to 46 in September 2022. However, the hit-and-run rate as a percentage of total crashes remained nearly stable. This rate was 18.5% in the current period, a negligible change from 18.6% in the prior year, indicating that the proportion of crashes involving a fleeing vehicle was consistent.
Vulnerable Road User Casualties
0
Pedestrians Killed
4
Motorists Killed
1
Pedestrians Injured
101
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · 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 significantly between the two periods. In September 2022, the peak day for crashes was Sunday with 44 incidents, a stark contrast to September 2021 when Wednesday was the peak day with 66 incidents. The peak hour for collisions shifted slightly earlier, from 4 p.m. in the prior year (31 crashes) to 3 p.m. in the current year (32 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity worsened significantly in September 2022 compared to the previous year. The number of fatal crashes increased from one to four, and the corresponding fatality rate rose from 0.36% to 1.61% of all crashes. While the total number of injuries remained stable (102 vs. 106), the proportion of crashes resulting in any type of injury (fatal, serious, minor, or possible) decreased slightly from 28.2% to 27.3%.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Most severe injury per crash record
Road & Environmental Conditions
Road, weather, and lighting conditions for crashes remained broadly similar year-over-year. Crashes on dry roads accounted for 85.9% of the total in September 2022, nearly unchanged from 85.0% in September 2021. The proportion of crashes occurring in daylight saw a slight increase, rising to 74.3% from 70.4% in the prior year. Crashes in clear weather represented 68.7% of the total, down from 77.7% the previous year.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes showed consistency at the top of the rankings year-over-year. Ford and Chevrolet remained the two most frequently involved makes in both periods, with 87 and 76 vehicles respectively in September 2022, down from 104 and 86. Honda (40 vehicles) replaced Dodge (31 vehicles) as the third most common make involved in collisions compared to the prior year. Passenger cars, SUVs, and pick-up trucks were the top three vehicle types in both periods.
Top Vehicle Makes (463 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Vehicle unit records
41 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (607 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-09-01 through 2022-09-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 249
- Total persons involved: 635
- Total vehicles involved: 463
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 2022." Published July 6, 2026. Reporting period: 2022-09-01 to 2022-09-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/september-2022-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: 2022-09-01 – 2022-09-30
Generated: July 6, 2026 · All rights reserved