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
28,453 CRASHES IN
OHIO, OH
2022
In Hamilton County, total traffic crashes decreased by 3.1% from 29,374 in 2021 to 28,453 in 2022. Despite this overall reduction in collisions, the number of fatalities resulting from these crashes increased by 8.3%, rising from 72 to 78 year-over-year. This divergence, with fewer total crashes but more resulting deaths, represents the most significant trend in the annual comparison.
28,453
▼ -3.1%was 29,374
Total Crash Events
78
▲ 8.3%was 72
Persons Killed
8,863
▼ -3.8%was 9,209
Persons Injured
6,550
▼ -8.8%was 7,181
Hit-and-Run Crashes
Note: "Persons Killed" (78) counts individual fatalities across all crash events. "Fatal" in the severity table below (75) 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 Hamilton County shows a decrease in the total volume of crashes and injuries, but an increase in crash severity. Total crashes fell by 921 incidents (a 3.1% reduction) and injuries decreased by 3.8% from 9,209 to 8,863. Conversely, fatalities rose from 72 in 2021 to 78 in 2022, indicating that while collisions were less frequent, they were more deadly.
6,550
Hit-and-Run Crashes — 2022
▼ -8.8% vs prior (7,181)
Hit-and-run incidents decreased in both absolute numbers and as a percentage of total crashes. The count of hit-and-run crashes fell from 7,181 in 2021 to 6,550 in 2022. Consequently, the hit-and-run rate trended downward, dropping from 24.4% of all crashes in the prior year to 23.0% in the current year.
Vulnerable Road User Casualties
15
Pedestrians Killed
63
Motorists Killed
322
Pedestrians Injured
8,541
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 peak day for crashes in both 2022 (4,702 crashes) and 2021 (5,050 crashes). The peak hour for collisions shifted slightly earlier, from 5 p.m. in 2021 (2,516 crashes) to 4 p.m. in 2022 (2,450 crashes), aligning with the afternoon commute rush in both periods.
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 in 2022 compared to the prior year. The number of fatal crashes increased from 65 to 75, and the fatal crash rate rose from 0.22 to 0.26 per 100 crashes. While fatal incidents increased, serious injury crashes saw a decline from 420 to 376. The proportion of crashes resulting in no injury remained stable, accounting for 77.4% of incidents in 2021 and 77.8% in 2022.
Severity is per crash event (most severe injury). 75 fatal crash events resulted in 78 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
A comparison of conditions shows that crashes in adverse weather were less frequent in 2022. Collisions occurring in rain decreased from 13.0% of the total in 2021 to 10.5% in 2022, and crashes on wet road surfaces similarly fell from 20.9% to 17.7%. The proportion of crashes happening in daylight (68.0% in 2022 vs. 67.0% in 2021) and on dry roads (77.6% vs. 75.4%) remained the dominant and largely stable condition across both periods.
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 involved in crashes and their top makes remained consistent between 2021 and 2022. Passenger cars, Sport Utility Vehicles, and Pick-up trucks were the three most common vehicle types in both years. Among vehicle makes, Ford (7,037) and Chevrolet (6,981) were the top two in 2022, maintaining their rankings from 2021, while Toyota (5,947) moved into the third position ahead of Honda. The age distribution of persons involved in crashes also showed no significant year-over-year shifts.
Top Vehicle Makes (55,457 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
5,866 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (56,534 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: 28,453
- Total persons involved: 61,278
- Total vehicles involved: 55,457
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