ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 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/2022-annual-report
Yearly Traffic Safety Analysis
4,561 CRASHES IN
OHIO, OH
2022
In 2022, Warren County recorded 4,561 total crashes, a 2.4% decrease from the 4,671 crashes reported in 2021. Despite the overall reduction in collisions, the most significant year-over-year change was a sharp increase in traffic fatalities. The number of persons killed in crashes rose from 8 in 2021 to 26 in 2022, representing a 225% increase.
4,561
▼ -2.4%was 4,671
Total Crash Events
26
▲ 225.0%was 8
Persons Killed
1,496
▼ -4.2%was 1,562
Persons Injured
428
▼ -5.1%was 451
Hit-and-Run Crashes
Note: "Persons Killed" (26) counts individual fatalities across all crash events. "Fatal" in the severity table below (24) 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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in crash volume shows a slight decline year-over-year. Total crashes in Warren County decreased by 2.4% from 4,671 in 2021 to 4,561 in 2022, and total injuries fell by 4.2% from 1,562 to 1,496. However, this downward trend did not extend to crash severity, as total fatalities increased significantly from 8 to 26 over the same period.
428
Hit-and-Run Crashes — 2022
▼ -5.1% vs prior (451)
The number and rate of hit-and-run incidents saw a slight decrease in 2022 compared to the previous year. There were 428 hit-and-run crashes in 2022, down from 451 in 2021. This corresponds to a minor drop in the hit-and-run rate, which fell from 9.7% of all crashes in 2021 to 9.4% in 2022.
Vulnerable Road User Casualties
4
Pedestrians Killed
22
Motorists Killed
15
Pedestrians Injured
1,481
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Temporal crash patterns shifted slightly between the two periods. In 2022, the peak day for crashes moved to Friday, with 786 incidents, from Tuesday (747 incidents) in the prior year. The busiest time of day also shifted an hour later, with the peak moving from the 4 p.m. hour in 2021 (429 crashes) to the 5 p.m. hour in 2022 (430 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity worsened significantly in 2022 compared to 2021. The number of fatal crashes increased from 7 to 24, and the fatal crash rate more than tripled, rising from 0.15 to 0.53 per 100 crashes. While fatal crashes increased, the proportion of crashes resulting in any level of injury (Serious, Minor, or Possible) saw a slight decrease, accounting for 23.0% of all crashes in 2022 compared to 24.2% in 2021.
Severity is per crash event (most severe injury). 24 fatal crash events resulted in 26 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of environmental conditions during crashes remained largely consistent year-over-year. In both 2022 and 2021, the majority of crashes occurred in daylight (68.0% and 67.7%, respectively) and on dry roads (74.4% and 73.7%, respectively). There was a slight decrease in the proportion of crashes occurring in adverse weather, with incidents in the rain falling from 13.8% of all crashes in 2021 to 10.9% in 2022.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The composition of vehicles involved in crashes showed minor changes between 2021 and 2022. Passenger Cars remained the most common vehicle type, though their count decreased from 4,105 to 3,899, while Sport Utility Vehicles saw a slight increase from 2,023 to 2,059. The top five vehicle makes involved in crashes were consistent across both years: Ford, Chevrolet, Honda, Toyota, and Nissan, with only Toyota and Honda swapping the third and fourth positions in the 2022 rankings.
Top Vehicle Makes (8,132 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
381 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (10,756 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 4,561
- Total persons involved: 11,063
- Total vehicles involved: 8,132
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: 2022." Published July 6, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2022-annual-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: 2022-01-01 – 2022-12-31
Generated: July 6, 2026 · All rights reserved