ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 2024
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/2024-annual-report
Yearly Traffic Safety Analysis
4,246 CRASHES IN
OHIO, OH
2024
In 2024, Clermont County recorded 4,246 traffic crashes, a 5.2% decrease from the 4,477 crashes reported in 2023. While overall crashes and injuries saw a slight decline, the most significant year-over-year change was a 20.8% reduction in total fatalities, which fell from 24 in 2023 to 19 in 2024.
4,246
▼ -5.2%was 4,477
Total Crash Events
19
▼ -20.8%was 24
Persons Killed
1,339
▼ -0.7%was 1,349
Persons Injured
415
▲ 1.5%was 409
Hit-and-Run Crashes
Note: "Persons Killed" (19) counts individual fatalities across all crash events. "Fatal" in the severity table below (15) 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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data for Clermont County indicates a downward trend in traffic collisions. Total crashes decreased by 5.2%, from 4,477 in 2023 to 4,246 in 2024. This decline was accompanied by a 20.8% drop in fatalities from 24 to 19 and a 0.7% decrease in total injuries from 1,349 to 1,339.
415
Hit-and-Run Crashes — 2024
▲ 1.5% vs prior (409)
Hit-and-run incidents in Clermont County showed a slight increase in both volume and rate year-over-year. The total number of hit-and-run crashes rose from 409 in 2023 to 415 in 2024. As a percentage of all crashes, the hit-and-run rate increased from 9.1% to 9.8%, indicating a growing trend for this type of collision.
Vulnerable Road User Casualties
3
Pedestrians Killed
16
Motorists Killed
12
Pedestrians Injured
1,327
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Clermont County remained largely consistent year-over-year, with Friday being the peak day for collisions in both 2024 (738 crashes) and 2023 (756 crashes). A minor shift occurred in the afternoon commute, as the peak hour for crashes moved from 5 p.m. in 2023 (399 crashes) to 4 p.m. in 2024 (362 crashes). Crash volumes on Wednesday increased from 637 to 689, while Tuesday saw a decrease from 720 to 645 incidents.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes in Clermont County showed a notable improvement in fatal outcomes. The number of fatal crashes decreased from 21 in 2023 to 15 in 2024, lowering their proportion of all crashes from 0.5% to 0.4%. Conversely, the count of serious injury crashes increased from 87 to 97, representing 2.3% of all crashes in 2024 compared to 1.9% in the prior year. Crashes resulting in no injury accounted for 77.7% of incidents, a slight decrease from 78.0% in 2023.
Severity is per crash event (most severe injury). 15 fatal crash events resulted in 19 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of crashes across environmental conditions remained largely stable between 2023 and 2024. Most crashes in both years occurred in daylight (70.7% in 2024 vs. 71.1% in 2023) and on dry roads (73.8% in 2024 vs. 75.3% in 2023). There was a slight proportional increase in crashes occurring on wet roads, which rose from 23.0% to 24.0% of all crashes. Similarly, crashes during rain increased from 572 to 592 incidents.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The types of vehicles involved in crashes showed minor shifts between the two periods. While passenger cars (3,485) and SUVs (1,906) remained the most common vehicle types in 2024, both saw a decrease in involvement from the prior year. Conversely, the number of pickup trucks in crashes increased from 1,120 to 1,197. The top three vehicle makes involved in collisions—Ford, Chevrolet, and Toyota—remained the same in both years, although their total counts declined in 2024.
Top Vehicle Makes (7,470 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
313 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (9,515 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 4,246
- Total persons involved: 9,899
- Total vehicles involved: 7,470
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: 2024." Published July 5, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2024-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: 2024-01-01 – 2024-12-31
Generated: July 5, 2026 · All rights reserved