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
22,709 CRASHES IN
OHIO, OH
2022
In 2022, Franklin County recorded 22,709 total crashes, a slight decrease of 0.6% from the 22,855 crashes in 2021. While total crashes and fatalities remained relatively stable, the most notable year-over-year shift was a significant 8.8% reduction in total injuries, which fell from 11,527 to 10,509.
22,709
▼ -0.6%was 22,855
Total Crash Events
126
▼ -1.6%was 128
Persons Killed
10,509
▼ -8.8%was 11,527
Persons Injured
6,533
▼ -5.8%was 6,933
Hit-and-Run Crashes
Note: "Persons Killed" (126) counts individual fatalities across all crash events. "Fatal" in the severity table below (119) 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 Franklin County from 2021 to 2022 shows a slight decrease in traffic collisions. Total crashes fell by 0.6%, from 22,855 to 22,709. This trend was accompanied by a 1.6% decrease in fatalities (from 128 to 126) and a more pronounced 8.8% drop in total injuries (from 11,527 to 10,509).
6,533
Hit-and-Run Crashes — 2022
▼ -5.8% vs prior (6,933)
The trend for hit-and-run crashes in Franklin County was downward between 2021 and 2022. The total number of hit-and-run incidents decreased from 6,933 to 6,533. The hit-and-run rate, calculated as a percentage of all crashes, also declined from 30.3% in 2021 to 28.8% in 2022.
Vulnerable Road User Casualties
35
Pedestrians Killed
91
Motorists Killed
428
Pedestrians Injured
10,081
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 remained broadly similar year-over-year, with Friday being the peak day for crashes in both 2022 (3,729 crashes) and 2021 (3,828 crashes). However, the single busiest hour for crashes shifted from the 3 p.m. hour in 2021 (1,818 crashes) to the 5 p.m. hour in 2022 (1,856 crashes), indicating a change in the daily peak traffic risk period.
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 outcomes improved from 2021 to 2022. The fatal crash rate remained nearly unchanged at approximately 0.5% of all crashes in both years. However, the proportion of crashes resulting in an injury of any kind (Serious, Minor, or Possible) decreased from 45.6% in 2021 to 42.6% in 2022. Correspondingly, no-injury crashes increased their share of the total, rising from 63.9% to 66.9%.
Severity is per crash event (most severe injury). 119 fatal crash events resulted in 126 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 crashes across different environmental conditions showed minimal change between 2021 and 2022. In both years, the vast majority of crashes occurred in clear weather (64.3% in 2022 vs. 65.1% in 2021) and on dry roads (78.0% in 2022 vs. 78.6% in 2021). There were no significant year-over-year shifts in the proportion of crashes related to adverse weather, lighting, or road surface conditions.
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 top vehicle makes involved in crashes remained consistent, with Honda, Chevrolet, Ford, and Toyota leading in both 2021 and 2022. While the overall rankings were stable, Chevrolet and Ford vehicles were involved in fewer crashes in 2022 compared to 2021. The demographic profile of persons involved in crashes also showed little change, though the number of persons in the 0-15 age group increased from 5,211 to 5,774.
Top Vehicle Makes (44,661 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
6,363 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (52,028 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: 22,709
- Total persons involved: 56,424
- Total vehicles involved: 44,661
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