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
3,525 CRASHES IN
OHIO, OH
2022
In 2022, Clark County recorded 3,525 traffic crashes, a 10.0% decrease from the 3,917 crashes reported in 2021. This overall reduction was accompanied by a slight decrease in total fatalities from 23 to 22 and a 9.3% drop in total injuries from 1,537 to 1,394. The most notable proportional year-over-year shift was a 30.7% decrease in crashes involving DUI, which fell from 270 in 2021 to 187 in 2022.
3,525
▼ -10.0%was 3,917
Total Crash Events
22
▼ -4.3%was 23
Persons Killed
1,394
▼ -9.3%was 1,537
Persons Injured
905
▼ -16.4%was 1,082
Hit-and-Run Crashes
Note: "Persons Killed" (22) counts individual fatalities across all crash events. "Fatal" in the severity table below (17) 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
Traffic crashes in Clark County showed a downward trend from 2021 to 2022. Total collisions decreased by 10.0%, from 3,917 to 3,525. Similarly, total injuries fell by 9.3% (from 1,537 to 1,394), and total fatalities decreased slightly from 23 to 22.
905
Hit-and-Run Crashes — 2022
▼ -16.4% vs prior (1,082)
Hit-and-run incidents decreased in Clark County from 2021 to 2022. The total number of hit-and-run crashes fell from 1,082 to 905. The hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also trended down, decreasing from 27.6% in 2021 to 25.7% in 2022.
Vulnerable Road User Casualties
5
Pedestrians Killed
17
Motorists Killed
29
Pedestrians Injured
1,365
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 consistent between 2021 and 2022. Friday was the peak day for crashes in both years, with 560 incidents in 2022 compared to 627 in 2021. The 4 PM hour was the peak hour in both periods, recording 281 crashes in 2022 and 325 in 2021, reflecting the overall decrease in crash volume.
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 distribution of crash severity remained largely stable year-over-year, with a slight shift away from injury-related incidents. Fatal crashes decreased from 22 to 17, and their share of total crashes fell from 0.6% to 0.5%. While the proportion of serious injury crashes saw a minor increase from 2.5% to 2.7%, the share of possible injury crashes decreased from 10.5% to 8.4%. Consequently, no-injury crashes constituted a slightly larger portion of the total in 2022 (73.1%) compared to 2021 (72.4%).
Severity is per crash event (most severe injury). 17 fatal crash events resulted in 22 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 environmental conditions under which crashes occurred were very similar between 2021 and 2022. In both periods, a majority of crashes happened during daylight (60.2% in 2022 vs. 59.9% in 2021) and on dry road surfaces (72.4% in 2022 vs. 72.5% in 2021). Crashes in clear weather accounted for 55.5% of incidents in 2022, a slight increase from 54.3% in 2021, indicating no significant shift toward crashes occurring in adverse 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 types of vehicles involved in crashes remained consistent, with Chevrolet, Ford, and Honda being the top three makes in both 2021 and 2022. Passenger cars (2,806) and Sport Utility Vehicles (1,338) were the most common vehicle types involved in 2022, following the same pattern as the prior year. Analysis of persons involved shows the 26-34 age group was the most represented in both periods. However, there was a notable decrease in the number of persons aged 16-20 (from 977 to 820) and 21-25 (from 875 to 760) involved in crashes.
Top Vehicle Makes (6,153 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
884 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,964 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 5, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 3,525
- Total persons involved: 7,759
- Total vehicles involved: 6,153
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 5, 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 5, 2026 · All rights reserved