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
21,687 CRASHES IN
OHIO, OH
SEPTEMBER 2022
In September 2022, Ohio recorded 21,687 total crashes, a 4.1% decrease from the 22,609 crashes reported in September 2021. The most notable year-over-year change was a 19.7% reduction in total fatalities, which fell from 137 to 110. Total injuries also declined from 9,004 to 8,379, a drop of 6.9%.
21,687
▼ -4.1%was 22,609
Total Crash Events
110
▼ -19.7%was 137
Persons Killed
8,379
▼ -6.9%was 9,004
Persons Injured
3,919
▼ -3.1%was 4,043
Hit-and-Run Crashes
Note: "Persons Killed" (110) counts individual fatalities across all crash events. "Fatal" in the severity table below (103) 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
Overall crash trends in Ohio showed a decline in September 2022 compared to the same month in the prior year. Total crashes fell by 4.1%, from 22,609 to 21,687. This downward trend was also reflected in crash outcomes, with total fatalities decreasing by 19.7% and total injuries decreasing by 6.9%.
3,919
Hit-and-Run Crashes — September 2022
▼ -3.1% vs prior (4,043)
While the total number of hit-and-run crashes decreased from 4,043 in September 2021 to 3,919 in September 2022, the hit-and-run rate saw a slight increase. Hit-and-runs constituted 18.1% of all crashes in the current period, up from 17.9% in the prior year. This indicates that although total crashes declined, hit-and-run incidents made up a slightly larger proportion of the total.
Vulnerable Road User Casualties
16
Pedestrians Killed
94
Motorists Killed
199
Pedestrians Injured
8,180
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 between September 2021 and September 2022. The day with the most crashes moved from Wednesday (4,297) in the prior year to Friday (4,352) in the current period. The peak hour for crashes also shifted slightly, from the 4 p.m. hour in 2021 (1,919 crashes) to the 3 p.m. hour in 2022 (1,890 crashes), though the afternoon commute remains the time with the highest crash frequency in both periods.
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
The distribution of crash severity remained largely consistent year-over-year, with minor proportional shifts. The percentage of fatal crashes decreased slightly from 0.6% of all incidents in September 2021 to 0.5% in September 2022, corresponding to a drop from 130 to 103 fatal crashes. Crashes involving any level of injury accounted for 26.9% of all crashes in the current period, down from 28.1% in the prior year, while no-injury crashes increased from 72.0% to 73.1% of the total.
Severity is per crash event (most severe injury). 103 fatal crash events resulted in 110 persons killed.
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
Crash conditions remained broadly similar year-over-year, with most incidents occurring in daylight and on dry roads in both periods. In September 2022, 70.9% of crashes happened in daylight and 86.4% on dry surfaces, nearly identical to the 70.6% and 85.9% reported in September 2021, respectively. There was a shift in reported weather conditions, with the proportion of crashes in clear weather decreasing from 74.3% to 69.0%, while the share of crashes in cloudy conditions increased from 14.4% to 21.4%.
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 composition of vehicles and persons involved in crashes showed little change year-over-year. The top three vehicle makes remained Chevrolet, Ford, and Honda in both September 2021 and September 2022, with each seeing a decrease in total crash involvements consistent with the overall trend. The age distribution of individuals involved in crashes was also stable; for example, the 26-34 age group comprised 15.3% of all persons in the current period, compared to 15.7% in the prior year.
Top Vehicle Makes (39,877 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-09-01 to 2022-09-30 · Vehicle unit records
3,790 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (47,678 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 5, 2026
Data Coverage
- Reporting period: 2022-09-01 through 2022-09-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 21,687
- Total persons involved: 50,492
- Total vehicles involved: 39,877
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 5, 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 5, 2026 · All rights reserved