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
3,408 CRASHES IN
OHIO, OH
2024
In Delaware County, total traffic crashes saw a marginal decrease of 1.3%, from 3,453 incidents in 2023 to 3,408 in 2024. Despite this slight reduction in overall collisions, the severity of outcomes worsened. The number of fatalities rose by 25% from 16 to 20, and total injuries increased by 7.6% from 1,469 to 1,581, indicating a year-over-year trend towards more severe crash outcomes.
3,408
▼ -1.3%was 3,453
Total Crash Events
20
▲ 25.0%was 16
Persons Killed
1,581
▲ 7.6%was 1,469
Persons Injured
453
▼ -13.4%was 523
Hit-and-Run Crashes
Note: "Persons Killed" (20) counts individual fatalities across all crash events. "Fatal" in the severity table below (19) 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
The overall crash volume in Delaware County remained largely stable, showing a minor decrease of 1.3% from 3,453 crashes in 2023 to 3,408 in 2024. In contrast to the stable crash volume, the severity of outcomes worsened. The period saw a 25% increase in fatalities (from 16 to 20) and a 7.6% rise in injuries (from 1,469 to 1,581) compared to the previous year.
453
Hit-and-Run Crashes — 2024
▼ -13.4% vs prior (523)
The number of hit-and-run incidents in Delaware County saw a notable decrease compared to the previous year. The total count of hit-and-run crashes fell from 523 in 2023 to 453 in 2024. This decline is also reflected in the hit-and-run rate, which dropped from 15.1% to 13.3% of all crashes, indicating a downward trend for this type of collision.
Vulnerable Road User Casualties
1
Pedestrians Killed
19
Motorists Killed
17
Pedestrians Injured
1,564
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 showed minor shifts year-over-year. Friday remained the peak day for collisions in both 2023 (588 crashes) and 2024 (599 crashes). The peak hour for crashes shifted slightly later, from the 4 p.m. hour in the prior period (317 crashes) to the 5 p.m. hour in the current period (321 crashes). Overall, crash volumes continue to be highest during weekday afternoon commute times.
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
Crash severity in Delaware County worsened compared to the prior year. The number of fatal crashes increased from 16 to 19, raising the fatal crash rate from 0.46% to 0.56%. The proportion of serious injury crashes also grew from 2.3% to 2.7% of all incidents. Consequently, the share of crashes resulting in no injury decreased from 71.2% in 2023 to 69.5% in 2024, reflecting an overall trend toward more harmful collisions.
Severity is per crash event (most severe injury). 19 fatal crash events resulted in 20 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
In both periods, the vast majority of crashes occurred in clear weather (65.6% in 2024 vs. 62.5% in 2023) and on dry roads (78.9% vs. 80.0%). Crashes during daylight hours also remained the most common scenario, accounting for 68.4% of incidents in the current period compared to 68.8% previously. There was a notable increase in crashes involving snow or ice on the road surface, which rose from 76 incidents in 2023 to 131 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 demographics of vehicles and persons involved in crashes remained consistent year-over-year. The top three vehicle makes involved in collisions were Honda (952 vehicles), Ford (679), and Chevrolet (641), maintaining the same rank order as the prior period. The age distribution of all persons involved also showed little change, with the 16-20 age group representing the largest cohort in both 2024 (1,214 persons) and 2023 (1,256 persons).
Top Vehicle Makes (6,229 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
453 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (8,213 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: 3,408
- Total persons involved: 8,562
- Total vehicles involved: 6,229
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