Yearly Traffic Safety Analysis

22 CRASHES IN
DENNISON, OH
2025

All metrics benchmarked against2024

Total crashes in Dennison increased by 4.76%, from 21 in 2024 to 22 in 2025. The most notable year-over-year shift was a 50% decrease in total injuries, falling from 8 in 2024 to 4 in 2025.

22

4.8%was 21

Total Crash Events

0

Persons Killed

4

-50.0%was 8

Persons Injured

3

50.0%was 2

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The total number of crashes increased by 4.76%, rising from 21 crashes in 2024 to 22 crashes in 2025. Conversely, total injuries decreased by 50%, from 8 in 2024 to 4 in 2025.

3

Hit-and-Run Crashes — 2025

50.0% vs prior (2)

Hit-and-run crashes increased by 50%, from 2 crashes in 2024 to 3 crashes in 2025. The hit-and-run crash rate also increased from 9.5% in 2024 to 13.6% in 2025.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

2

Pedestrians Injured

Prior: 0%

2

Motorists Injured

Prior: 8-75.0%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday, with 5 crashes recorded in both 2024 and 2025. However, the peak crash hour shifted from 3 p.m. in 2024 to 8 p.m. in 2025, with 3 crashes occurring at each peak time. The number of months recording crashes increased from 10 in 2024 to 11 in 2025.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either 2024 or 2025. Total injuries decreased by 50%, from 8 in 2024 to 4 in 2025. Serious injuries (severity A) decreased from 1 in 2024 to 0 in 2025, and minor injuries (severity B) decreased from 4 to 3.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes13.6%
-25.0%prior 4
No Injury19no injury crashes86.4%
26.7%prior 15

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather increased from 16 in 2024 to 17 in 2025. Snow conditions were reported in 3 crashes in 2025, compared to none in 2024, while cloudy conditions decreased from 2 crashes in 2024 to 0 in 2025. Crashes during daylight hours decreased from 12 in 2024 to 10 in 2025, whereas crashes in dark-lighted roadway conditions increased from 4 to 7. Dry road surface crashes increased from 17 in 2024 to 18 in 2025, and crashes on wet road surfaces decreased from 3 to 2.

Weather

Clear17 (77.3%)
6.3%prior 16
Snow3 (13.6%)
Other/Unknown1 (4.5%)
Rain1 (4.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight10 (45.5%)
-16.7%prior 12
Dark - Lighted Roadway7 (31.8%)
Dawn/Dusk3 (13.6%)
Dark - Roadway Not Lighted1 (4.5%)
Dark - Unknown Roadway Lighting1 (4.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry18 (81.8%)
5.9%prior 17
Snow2 (9.1%)
Wet2 (9.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
FORD7 (20%)
2
CHEVROLET5 (14.3%)
-54.5%prior 11
3
HONDA4 (11.4%)
4
NISSAN3 (8.6%)
5
JEEP2 (5.7%)
6
INTERNATIONAL2 (5.7%)
7
TOYOTA2 (5.7%)
8
CHRYSLER2 (5.7%)
9
HYUNDAI1 (2.9%)
10
BUICK1 (2.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records

Sex Distribution (40 persons with recorded sex)

Male24 (60.0%)
14.3%prior 21
Female16 (40.0%)
-11.1%prior 18

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Dennison, OH
  • Total crash records analyzed: 22
  • Total persons involved: 40
  • Total vehicles involved: 35

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). "Dennison, OH Crash Intelligence Report: 2025." Published July 6, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/dennison/2025-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

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Dennison, OH Crash Report — 2025 | ThatCarHitMe.com