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
1,679 CRASHES IN
OHIO, OH
2024
In 2024, Scioto County recorded 1,679 total traffic crashes, a 2.0% decrease from the 1,713 crashes reported in 2023. While total crashes saw a slight decline, the number of fatalities increased from 9 to 10. The most significant year-over-year change was a 12.5% reduction in total injuries, which fell from 642 in the prior period to 562 in the current period.
1,679
▼ -2.0%was 1,713
Total Crash Events
10
▲ 11.1%was 9
Persons Killed
562
▼ -12.5%was 642
Persons Injured
217
▼ -9.2%was 239
Hit-and-Run Crashes
Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) 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
Overall, traffic crashes in Scioto County showed a slight downward trend, decreasing by 2.0% from 1,713 in 2023 to 1,679 in 2024. This decline was accompanied by a 12.5% drop in total injuries. However, the number of fatalities increased by one, from 9 in the prior year to 10 in the current year.
217
Hit-and-Run Crashes — 2024
▼ -9.2% vs prior (239)
Incidents of hit-and-run crashes in Scioto County trended downward year-over-year. The total number of hit-and-run crashes decreased from 239 in 2023 to 217 in 2024. This represents a decline in the hit-and-run rate, which fell from 14.0% of all crashes in the prior period to 12.9% in the current period.
Vulnerable Road User Casualties
3
Pedestrians Killed
7
Motorists Killed
6
Pedestrians Injured
556
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 saw some shifts between the two periods. The peak day for collisions moved from Friday (288 crashes) in 2023 to Wednesday (272 crashes) in 2024. The peak hour for crashes remained consistent at 3 p.m. in both years, although the volume of crashes during that hour decreased from 152 to 138. Monthly data shows October was a high-crash month in both periods, while May 2024 experienced a notable increase in both crashes and fatalities compared to the previous year, with 4 fatalities versus 0.
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 generally decreased year-over-year, with the proportion of crashes resulting in no injuries increasing from 72.7% in 2023 to 75.6% in 2024. Correspondingly, the share of crashes involving serious injuries fell from 4.0% to 2.9%, and minor injury crashes dropped from 16.2% to 13.6%. While the total number of people killed rose from 9 to 10, the number of fatal crashes declined from 9 to 7, leading to a lower fatal crash rate of 0.42% compared to 0.53% in the prior year.
Severity is per crash event (most severe injury). 7 fatal crash events resulted in 10 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 different environmental conditions remained largely consistent year-over-year. The majority of collisions in both 2024 and 2023 occurred in daylight (64.0% and 64.3%, respectively) and on dry roads (74.2% and 77.2%). There was a slight proportional increase in crashes on wet roads, from 21.6% to 23.4%. The most notable shift was in winter conditions, where the number of crashes involving snow or ice more than doubled from 14 in 2023 to 35 in 2024.
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 a continuing trend toward Sport Utility Vehicles (SUVs), which increased their share from 21.6% of all vehicles in 2023 to 25.1% in 2024. Conversely, passenger cars, while still the most common vehicle type, saw their involvement decrease from 1,399 to 1,288. Among vehicle makes, Chevrolet and Ford remained the top two most frequently involved, while Toyota moved up to become the third most common make with 216 vehicles involved, compared to 185 in the prior year. The age distribution of persons involved in crashes remained stable across both periods.
Top Vehicle Makes (2,744 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
173 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,282 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 6, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 1,679
- Total persons involved: 3,425
- Total vehicles involved: 2,744
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 6, 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 6, 2026 · All rights reserved