Yearly Traffic Safety Analysis

121 CRASHES IN
GALION, OH
2025

All metrics benchmarked against2024

Total crashes in Galion decreased from 135 in 2024 to 121 in 2025, marking a 10.37% reduction. The most notable shift was the increase in fatalities, rising from zero in 2024 to one fatality in 2025.

121

-10.4%was 135

Total Crash Events

1

Persons Killed

22

-24.1%was 29

Persons Injured

14

-22.2%was 18

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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

Overall, total crashes in Galion decreased year-over-year, falling from 135 crashes in 2024 to 121 crashes in 2025. This represents a 10.37% reduction in total crash incidents.

14

Hit-and-Run Crashes — 2025

-22.2% vs prior (18)

Hit-and-run crashes decreased from 18 in 2024 to 14 in 2025. The hit-and-run crash rate also decreased from 13.3% in 2024 to 11.6% in 2025, indicating a downward trend in both the count and proportion of such incidents.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

0

Motorists Killed

Prior: 00.0%

0

Pedestrians Injured

Prior: 00.0%

22

Motorists Injured

Prior: 29-24.1%

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, although the number of crashes on Fridays decreased from 30 in 2024 to 22 in 2025. The peak hour for crashes also remained 4 PM, with the count increasing from 13 crashes in 2024 to 15 crashes 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

Fatalities increased from 0 in 2024 to 1 in 2025, resulting in a fatal crash rate of 0.8% in 2025. Total injury crashes (A, B, C) decreased from 23 in 2024 to 18 in 2025. The proportion of serious injury crashes (A) decreased from 1.5% to 0.8%, while minor injury crashes (B) decreased from 10.4% to 8.3%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.8%
Serious Injury1serious injury crashes0.8%
-50.0%prior 2
Minor Injury10minor injury crashes8.3%
-28.6%prior 14
Possible Injury7possible injury crashes5.8%
0.0%prior 7
No Injury102no injury crashes84.3%
-8.9%prior 112

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 decreased from 102 in 2024 to 99 in 2025, and those in rainy conditions decreased from 14 to 5. Conversely, crashes on snowy roads increased from 4 to 6, and on icy roads from 1 to 4. Crashes in daylight decreased from 103 to 89, while those in dark conditions on unlighted roadways increased from 3 to 9.

Weather

Clear99 (81.8%)
-2.9%prior 102
Cloudy8 (6.6%)
-42.9%prior 14
Snow6 (5.0%)
Rain5 (4.1%)
-64.3%prior 14
Fog; Smog; Smoke2 (1.7%)
Other/Unknown1 (0.8%)

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

Lighting

Daylight89 (73.6%)
-13.6%prior 103
Dark - Lighted Roadway14 (11.6%)
-30.0%prior 20
Dark - Roadway Not Lighted9 (7.4%)
Dark - Unknown Roadway Lighting3 (2.5%)
Dawn/Dusk3 (2.5%)
-50.0%prior 6
Other/Unknown3 (2.5%)

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

Road Surface

Dry91 (75.2%)
-12.5%prior 104
Wet17 (14.0%)
-26.1%prior 23
Snow7 (5.8%)
40.0%prior 5
Ice4 (3.3%)
Other/Unknown2 (1.7%)

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

Vehicles & Demographics

The top vehicle makes involved in crashes saw Chevrolet decrease from 62 to 40, and Ford decrease from 39 to 31. Honda entered the top three with 22 crashes, while Kia dropped from 20 to 6. Regarding persons involved, the 0-15 age group saw a decrease from 38 to 16, and the 65+ age group decreased from 56 to 45, while the 16-20 age group increased from 29 to 34.

Top Vehicle Makes (228 vehicles)

1
CHEVROLET40 (17.5%)
-35.5%prior 62
2
FORD31 (13.6%)
-20.5%prior 39
3
HONDA22 (9.6%)
15.8%prior 19
4
JEEP16 (7%)
6.7%prior 15
5
TOYOTA15 (6.6%)
0.0%prior 15
6
NISSAN10 (4.4%)
7
HYUNDAI9 (3.9%)
-25.0%prior 12
8
DODGE8 (3.5%)
-46.7%prior 15
9
GMC8 (3.5%)
-38.5%prior 13
10
CHRYSLER6 (2.6%)
-25.0%prior 8

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

5 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (219 persons with recorded sex)

Male114 (52.1%)
-10.2%prior 127
Female105 (47.9%)
-19.2%prior 130

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 5, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Galion, OH
  • Total crash records analyzed: 121
  • Total persons involved: 249
  • Total vehicles involved: 228

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). "Galion, OH Crash Intelligence Report: 2025." Published July 5, 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/galion/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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Galion, OH Crash Report — 2025 | ThatCarHitMe.com