ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · JANUARY 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/january-2022-report
Monthly Traffic Safety Analysis
23,241 CRASHES IN
OHIO, OH
JANUARY 2022
In January 2022, Ohio recorded 23,241 total traffic crashes, a 16.6% increase from the 19,931 crashes documented in January 2021. Despite the rise in overall collisions, the most notable year-over-year shift was a significant 24.1% decrease in traffic-related fatalities, which fell from 108 to 82.
23,241
▲ 16.6%was 19,931
Total Crash Events
82
▼ -24.1%was 108
Persons Killed
7,139
▲ 4.1%was 6,857
Persons Injured
3,963
▲ 2.1%was 3,883
Hit-and-Run Crashes
Note: "Persons Killed" (82) counts individual fatalities across all crash events. "Fatal" in the severity table below (78) 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 2022-01-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends were mixed when comparing January 2022 to the previous year. The total number of crashes rose by 16.6% from 19,931 to 23,241, and total injuries increased by 4.1% from 6,857 to 7,139. In contrast, total fatalities saw a significant downward trend, decreasing by 24.1% from 108 to 82.
3,963
Hit-and-Run Crashes — January 2022
▲ 2.1% vs prior (3,883)
While the absolute number of hit-and-run crashes increased slightly from 3,883 in January 2021 to 3,963 in January 2022, the hit-and-run rate trended downward. As a percentage of total crashes, hit-and-runs decreased from 19.5% to 17.1% year-over-year. This indicates that hit-and-run incidents became a smaller proportion of overall collisions despite the slight increase in raw count.
Vulnerable Road User Casualties
9
Pedestrians Killed
73
Motorists Killed
145
Pedestrians Injured
6,994
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed a distinct shift between the two periods. In January 2022, the peak day for crashes was Monday, with 4,294 incidents, and the peak hour was the 3 p.m. hour with 1,851 crashes. This contrasts with January 2021, when Friday was the peak day (3,591 crashes) and the 6 p.m. hour saw the most collisions (1,589 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes decreased year-over-year. The fatal crash rate fell from 0.49% of all crashes in January 2021 to 0.34% in January 2022, with the absolute number of fatal crashes dropping from 97 to 78. The proportion of crashes resulting in any type of injury (serious, minor, or possible) also decreased, while the share of non-injury crashes grew from 75.3% to 77.7% of all incidents.
Severity is per crash event (most severe injury). 78 fatal crash events resulted in 82 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Most severe injury per crash record
Road & Environmental Conditions
Comparing conditions year-over-year reveals a significant increase in crashes involving adverse winter weather. Crashes occurring in snow conditions rose from 3,094 in January 2021 to 5,033 in January 2022. Correspondingly, collisions on snow-covered road surfaces more than doubled from 2,003 to 5,105. The proportion of crashes happening in daylight also increased from 47.7% to 54.5% of all incidents.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Road surface condition field
Vehicles & Demographics
The primary vehicle types and makes involved in crashes remained stable year-over-year. Passenger Cars and Sport Utility Vehicles were the top two vehicle types in both January 2022 and January 2021. Similarly, the top three vehicle makes involved in collisions were consistent across both periods: Chevrolet, Ford, and Honda. The age distribution of persons involved also showed little change, with the 26-34 age group representing the largest cohort in both years.
Top Vehicle Makes (40,744 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · Vehicle unit records
3,749 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (47,084 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-01-31 · 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 2022-01-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-01-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 23,241
- Total persons involved: 50,104
- Total vehicles involved: 40,744
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: January 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-01-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/january-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: 2022-01-01 – 2022-01-31
Generated: July 5, 2026 · All rights reserved