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
1,240 CRASHES IN
OHIO, OH
2024
In 2024, Sandusky County recorded 1,240 total vehicle crashes, a 6.8% decrease from the 1,330 crashes reported in 2023. This downward trend was also reflected in the number of people killed, which fell from 12 in the prior year to 9 in the current year. The total number of injuries also saw a decline, dropping from 452 to 412.
1,240
▼ -6.8%was 1,330
Total Crash Events
9
▼ -25.0%was 12
Persons Killed
412
▼ -8.8%was 452
Persons Injured
99
▼ -4.8%was 104
Hit-and-Run Crashes
Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (8) 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
Traffic crashes in Sandusky County showed a downward trend from 2023 to 2024, with total incidents falling by 6.8% from 1,330 to 1,240. This improvement extended to crash outcomes, as total fatalities decreased by 25% from 12 to 9, and total injuries declined by 8.8% from 452 to 412.
99
Hit-and-Run Crashes — 2024
▼ -4.8% vs prior (104)
The total number of hit-and-run crashes in Sandusky County decreased from 104 in 2023 to 99 in 2024. However, because the overall number of crashes fell at a faster pace, the hit-and-run rate saw a slight increase. Hit-and-runs constituted 8.0% of all crashes in 2024, up from 7.8% in the prior year, indicating they became a slightly larger proportion of total incidents.
Vulnerable Road User Casualties
2
Pedestrians Killed
7
Motorists Killed
5
Pedestrians Injured
407
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 Sandusky County remained largely consistent year-over-year. Friday continued to be the peak day for crashes in both 2024 (220 crashes) and 2023 (229 crashes). Similarly, the 3 p.m. hour was the most frequent time for incidents in both periods, with 95 crashes in the current year and 94 in the prior year. Crashes during the 6 a.m. hour, however, saw a notable decrease from 94 incidents in 2023 to 74 in 2024.
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 saw a slight shift towards less severe outcomes in 2024 compared to 2023. The fatal crash rate decreased marginally from 0.68% to 0.65%, with 8 fatal crashes in the current year versus 9 in the prior year. Crashes resulting in serious injuries also saw a proportional decrease, accounting for 3.9% of all incidents in 2024, down from 4.3% in 2023. Consequently, the proportion of crashes with no reported injuries increased slightly from 75.3% to 76.0%.
Severity is per crash event (most severe injury). 8 fatal crash events resulted in 9 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 majority of crashes in both periods occurred in clear weather and on dry roads, with crashes on dry roads accounting for 79.4% of the total in 2024 compared to 80.8% in 2023. There was a notable decrease in crashes occurring in darkness on unlighted roadways, which fell from 423 incidents (31.8% of total) in 2023 to 343 (27.7% of total) in 2024. Conversely, crashes on roads with snow or ice increased from 44 incidents in the prior year to 65 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
In 2024, a total of 1,951 vehicles were involved in crashes, down from 2,023 in the previous year. The composition of involved vehicles shifted, with Sport Utility Vehicles increasing from 448 to 510, while Passenger Cars decreased from 816 to 728. Among vehicle makes, Ford (339 vehicles) and Chevrolet (321 vehicles) were the most frequently involved in 2024, swapping the top two positions from 2023 when Chevrolet led with 364 vehicles. The number of most top makes involved in crashes saw a general decrease, consistent with the overall drop in crash volume.
Top Vehicle Makes (1,951 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
87 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,535 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: 1,240
- Total persons involved: 2,609
- Total vehicles involved: 1,951
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