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
3,265 CRASHES IN
OHIO, OH
2022
In Wood County, total traffic crashes remained stable, with 3,265 incidents in 2022 compared to 3,250 in 2021, an increase of less than 1%. While the overall crash volume was consistent, the most notable year-over-year shift was a 13.3% decrease in the total number of injuries, which fell from 994 to 862, even as total fatalities rose from 13 to 15.
3,265
▲ 0.5%was 3,250
Total Crash Events
15
▲ 15.4%was 13
Persons Killed
862
▼ -13.3%was 994
Persons Injured
326
▼ -2.7%was 335
Hit-and-Run Crashes
Note: "Persons Killed" (15) counts individual fatalities across all crash events. "Fatal" in the severity table below (13) 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
Overall crash trends in Wood County were mixed between 2021 and 2022. Total crashes increased slightly by 15 incidents (from 3,250 to 3,265), while fatal crashes rose from 11 to 13. Conversely, the total number of people injured in crashes saw a significant decline of 13.3%, dropping from 994 in 2021 to 862 in 2022.
326
Hit-and-Run Crashes — 2022
▼ -2.7% vs prior (335)
Hit-and-run incidents saw a slight decline in both count and rate. The total number of hit-and-run crashes decreased from 335 in 2021 to 326 in 2022. Correspondingly, the hit-and-run rate as a percentage of total crashes fell slightly from 10.3% to 10.0%.
Vulnerable Road User Casualties
0
Pedestrians Killed
15
Motorists Killed
12
Pedestrians Injured
850
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 showed some consistency and some change year-over-year. Friday remained the peak day for crashes in both 2022 (541 crashes) and 2021 (543 crashes). However, the peak hour for collisions shifted from the 3 p.m. hour in 2021, which saw 280 crashes, to the 5 p.m. hour in 2022, with 262 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 shifted between the two periods. The number of fatal crashes increased from 11 in 2021 to 13 in 2022, and the corresponding fatal crash rate rose from 0.34% to 0.40%. In contrast, all categories of injury crashes saw a decline: serious injury crashes fell from 82 to 73, minor injury crashes dropped from 348 to 304, and possible injury crashes decreased from 262 to 223.
Severity is per crash event (most severe injury). 13 fatal crash events resulted in 15 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
Driving conditions for crashes were largely similar between 2021 and 2022, with most incidents in both years occurring in clear weather (2,016 in 2022 vs. 2,007 in 2021) and on dry roads (2,475 vs. 2,459). One notable shift was in road surface conditions, where crashes on icy roads increased from 29 in 2021 to 82 in 2022. Crashes during rainfall decreased from 346 to 288.
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 demographics of vehicles and persons involved in crashes remained consistent year-over-year. In both 2022 and 2021, the most common vehicles involved were Passenger Cars, Sport Utility Vehicles, and Pickups. The top three vehicle makes involved in crashes were also unchanged: Ford (886 in 2022 vs. 894 in 2021), Chevrolet (833 vs. 841), and Honda (448 vs. 414).
Top Vehicle Makes (5,488 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
305 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,749 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: 3,265
- Total persons involved: 7,008
- Total vehicles involved: 5,488
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