Yearly Traffic Safety Analysis

178 CRASHES IN
CANAL WINCHESTER, OH
2025

All metrics benchmarked against2024

In Canal Winchester, total crashes increased by 17.88% from 151 in the prior period to 178 in the current period. Despite this rise in crash incidents, total fatalities decreased by 50%, from 2 to 1. Total injuries also saw an increase of 23.08%, rising from 39 to 48.

178

17.9%was 151

Total Crash Events

1

-50.0%was 2

Persons Killed

48

23.1%was 39

Persons Injured

25

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, crash incidents in Canal Winchester increased year-over-year, with total crashes rising by 17.88% from 151 to 178. Concurrently, total injuries increased by 23.08% from 39 to 48. However, total fatalities decreased by 50%, from 2 in the prior period to 1 in the current period.

25

Hit-and-Run Crashes — 2025

0.0% vs prior (25)

The number of hit-and-run crashes remained stable at 25 in both the prior and current periods. However, the hit-and-run rate decreased from 16.6% of total crashes in the prior period to 14% in the current period, reflecting the overall increase in total crashes.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 2-50.0%

48

Motorists Injured

Prior: 3826.3%

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 in both periods, with 35 crashes in the prior period increasing to 42 crashes in the current period. The peak crash hour shifted from 7 AM with 18 crashes in the prior period to 4 PM with 17 crashes in the current period.

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

The number of fatal crashes remained constant at 1 in both periods, though total fatalities decreased from 2 to 1. Serious injury crashes (severity 'A') decreased from 3 to 2, representing a drop from 2% to 1.1% of all crashes. Conversely, minor injury crashes (severity 'B') increased from 10 to 18, rising from 6.6% to 10.1% of total crashes.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%
0.0%prior 1
Serious Injury2serious injury crashes1.1%
-33.3%prior 3
Minor Injury18minor injury crashes10.1%
80.0%prior 10
Possible Injury11possible injury crashes6.2%
-15.4%prior 13
No Injury146no injury crashes82%
17.7%prior 124

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 conditions increased from 90 to 122, while crashes during rainy conditions increased from 19 to 23. There was a notable increase in crashes during snowy conditions, rising from 3 in the prior period to 11 in the current period. Crashes in 'Dark - Lighted Roadway' conditions doubled from 13 to 26 year-over-year.

Weather

Clear122 (68.5%)
35.6%prior 90
Rain23 (12.9%)
21.1%prior 19
Cloudy21 (11.8%)
-40.0%prior 35
Snow11 (6.2%)
Sleet; Hail1 (0.6%)

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

Lighting

Daylight109 (61.2%)
12.4%prior 97
Dark - Lighted Roadway26 (14.6%)
100.0%prior 13
Dark - Roadway Not Lighted24 (13.5%)
4.3%prior 23
Dawn/Dusk16 (9.0%)
6.7%prior 15
Dark - Unknown Roadway Lighting2 (1.1%)
Other/Unknown1 (0.6%)

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

Road Surface

Dry135 (75.8%)
19.5%prior 113
Wet29 (16.3%)
7.4%prior 27
Snow7 (3.9%)
Ice5 (2.8%)
Slush1 (0.6%)
Water (Standing; Moving)1 (0.6%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 270 to 330, and the total number of persons involved rose from 368 to 455. The 16-20 age group saw an increase in involved persons from 35 to 48, and the 26-34 age group increased from 59 to 71. Ford remained the most frequently involved vehicle make, increasing from 34 to 44, with Chevrolet moving to second place with 42 vehicles involved, up from 29.

Top Vehicle Makes (330 vehicles)

1
FORD44 (13.3%)
29.4%prior 34
2
CHEVROLET42 (12.7%)
44.8%prior 29
3
HONDA41 (12.4%)
28.1%prior 32
4
TOYOTA40 (12.1%)
29.0%prior 31
5
DODGE19 (5.8%)
137.5%prior 8
6
NISSAN19 (5.8%)
18.8%prior 16
7
HYUNDAI18 (5.5%)
5.9%prior 17
8
JEEP14 (4.2%)
100.0%prior 7
9
KIA14 (4.2%)
7.7%prior 13
10
GMC6 (1.8%)
0.0%prior 6

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

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

Sex Distribution (412 persons with recorded sex)

Male229 (55.6%)
19.9%prior 191
Female183 (44.4%)
12.3%prior 163

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: Canal Winchester, OH
  • Total crash records analyzed: 178
  • Total persons involved: 455
  • Total vehicles involved: 330

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). "Canal Winchester, 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/canal-winchester/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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