ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 2023
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/2023-annual-report
Yearly Traffic Safety Analysis
4,477 CRASHES IN
OHIO, OH
2023
In 2023, Clermont County recorded 4,477 total traffic crashes, a 1.0% decrease from the 4,524 crashes documented in 2022. While overall crashes and fatalities saw a slight decline, the most significant year-over-year change was a 37.5% increase in motorcycle-involved crashes, which rose from 64 in 2022 to 88 in 2023.
4,477
▼ -1.0%was 4,524
Total Crash Events
24
▼ -11.1%was 27
Persons Killed
1,349
▼ -4.5%was 1,412
Persons Injured
409
▼ -9.9%was 454
Hit-and-Run Crashes
Note: "Persons Killed" (24) counts individual fatalities across all crash events. "Fatal" in the severity table below (21) 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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic safety trends in Clermont County showed a marginal improvement year-over-year. Total crashes fell by 1.0%, from 4,524 in 2022 to 4,477 in 2023. This downward trend was also reflected in casualties, with total injuries decreasing by 4.5% (from 1,412 to 1,349) and fatalities dropping by 11.1% (from 27 to 24).
409
Hit-and-Run Crashes — 2023
▼ -9.9% vs prior (454)
Hit-and-run incidents decreased in both number and rate in 2023 compared to the prior year. The total count of hit-and-run crashes fell by 9.9%, from 454 in 2022 to 409 in 2023. Consequently, the hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, also trended down from 10.0% to 9.1%.
Vulnerable Road User Casualties
3
Pedestrians Killed
21
Motorists Killed
18
Pedestrians Injured
1,331
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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 between the two periods. Friday was the peak day for crashes in both 2023 (756 crashes) and 2022 (799 crashes). The peak hour for collisions shifted slightly, moving from the 4 p.m. hour in 2022 (432 crashes) to the 5 p.m. hour in 2023 (399 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall crash severity distribution was stable year-over-year. The fatal crash rate saw a minor decrease from 0.49% of all crashes in 2022 to 0.47% in 2023, with 21 fatal crashes compared to 22 in the prior year. The proportion of crashes resulting in no injuries was nearly identical at 78.0% in 2023 versus 77.9% in 2022.
Severity is per crash event (most severe injury). 21 fatal crash events resulted in 24 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions showed some shifts related to road surface, likely reflecting different weather patterns between the two years. Crashes occurring on snowy and icy roads decreased significantly, from 161 and 67 respectively in 2022, to just 47 and 15 in 2023. Conversely, crashes on wet roads increased from 903 to 1,030. The proportions of crashes in different lighting conditions, such as Daylight (3,181 in 2023 vs 3,182 in 2022), remained nearly unchanged.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes were consistent, with Ford, Chevrolet, Toyota, and Honda leading in both years, though counts for these makes saw minor decreases. Analysis of persons involved shows a notable increase in younger age groups; the 0-15 age group grew by 10.8% (from 1,198 to 1,328 people) and the 16-20 group grew by 5.3% (from 1,446 to 1,523 people).
Top Vehicle Makes (7,873 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
348 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (10,298 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 4,477
- Total persons involved: 10,659
- Total vehicles involved: 7,873
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: 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2023-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: 2023-01-01 – 2023-12-31
Generated: July 5, 2026 · All rights reserved