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
5,648 CRASHES IN
OHIO, OH
2022
In Mahoning County, total traffic crashes remained nearly stable, with 5,648 incidents in 2022 compared to 5,604 in 2021, an increase of less than 1%. The most significant year-over-year change was a sharp rise in traffic fatalities, which increased by 76.2% from 21 in 2021 to 37 in 2022. Despite the increase in fatalities, the total number of injuries reported decreased over the same period.
5,648
▲ 0.8%was 5,604
Total Crash Events
37
▲ 76.2%was 21
Persons Killed
1,971
▼ -7.3%was 2,127
Persons Injured
677
▼ -15.8%was 804
Hit-and-Run Crashes
Note: "Persons Killed" (37) counts individual fatalities across all crash events. "Fatal" in the severity table below (34) 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 for Mahoning County was relatively stable between 2021 and 2022, with a minor increase of 44 incidents (0.8%). While the total number of crashes held steady, the outcomes grew more severe, as total fatalities rose from 21 to 37. Conversely, the number of people injured in crashes decreased by 7.3%, from 2,127 in 2021 to 1,971 in 2022.
677
Hit-and-Run Crashes — 2022
▼ -15.8% vs prior (804)
Hit-and-run crashes trended downward in 2022 compared to the prior year. The total number of hit-and-run incidents decreased from 804 in 2021 to 677 in 2022. Consequently, the hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, fell from 14.3% in 2021 to 12.0% in 2022.
Vulnerable Road User Casualties
5
Pedestrians Killed
32
Motorists Killed
19
Pedestrians Injured
1,952
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
The temporal patterns of crashes remained largely consistent year-over-year. Friday was the day with the most crashes in both 2022 (947 incidents) and 2021 (867 incidents). The afternoon commute period continued to be the most frequent time for crashes, though the peak hour shifted slightly earlier from the 4 p.m. hour in 2021 (495 crashes) to the 3 p.m. hour in 2022 (458 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
The severity of crashes increased from 2021 to 2022. Fatal crashes rose from 21 to 34, increasing their share of all crashes from 0.4% to 0.6%. While the proportion of serious injury crashes was unchanged at 2.4%, the share of crashes involving minor or possible injuries declined. Crashes resulting in no injuries became slightly more common, rising from 74.2% of all incidents in 2021 to 75.4% in 2022.
Severity is per crash event (most severe injury). 34 fatal crash events resulted in 37 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 majority of crashes in both periods occurred under favorable conditions, with over 54% in clear weather and over 73% on dry roads in 2022. However, there was a significant increase in crashes reported during adverse winter conditions. Incidents on snow-covered roads more than doubled, from 158 in 2021 to 311 in 2022, and crashes on icy roads increased from 102 to 138. The proportion of crashes occurring in daylight increased slightly from 65.5% to 67.8%.
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 types of vehicles most frequently involved in crashes showed little change between the two periods, with Chevrolet (1,928 vehicles) and Ford (1,441 vehicles) remaining the top two makes in 2022. The 26-34 age group continued to be the most represented demographic among persons involved in crashes, accounting for 1,952 individuals in 2022, down from 2,021 in 2021. Notably, the number of individuals aged 65 and older involved in crashes increased from 1,566 in 2021 to 1,697 in 2022.
Top Vehicle Makes (9,908 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
728 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (12,564 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: 5,648
- Total persons involved: 13,000
- Total vehicles involved: 9,908
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