Yearly Traffic Safety Analysis

7,593 CRASHES IN
VERMONT, VT
2025

All metrics benchmarked against2024

In 2025, Vermont recorded 7,593 total traffic crashes, a 7.5% increase from the 7,063 crashes reported in 2024. This rise in collisions was accompanied by a 5.3% increase in fatalities, from 57 to 60, and a 2.1% increase in injuries, from 1,725 to 1,761. The most notable year-over-year shift was the increase in crashes occurring on non-dry road surfaces such as snow and ice.

7,593

7.5%was 7,063

Total Crash Events

60

5.3%was 57

Fatal Crashes

1,761

2.1%was 1,725

Injury Crashes

60

5.3%was 57

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 147 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends in Vermont show an increase year-over-year. Total collisions rose by 7.5%, from 7,063 in 2024 to 7,593 in 2025. This upward trend is also reflected in the number of persons killed, which increased from 57 to 60, and persons injured, which grew from 1,725 to 1,761.

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In 2025, the peak day for crashes was Friday with 1,226 incidents, a change from 2024 when Tuesday was the peak day with 1,110 incidents. The peak hour for collisions also shifted one hour earlier, moving from 4 p.m. in 2024 (619 crashes) to 3 p.m. in 2025 (696 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the absolute number of fatal crashes increased from 57 to 60 year-over-year, the fatal crash rate per 100 crashes saw a slight decrease from 0.81 to 0.79. Similarly, the proportion of crashes resulting in any injury declined from 24.4% in 2024 to 23.2% in 2025. Consequently, the share of crashes with no reported injuries increased from 73.2% to 74.1%.

Outcome by Severity (Crash Events)

Fatal60fatal crashes0.8%
5.3%prior 57
Injury1,761minor injury crashes23.2%
2.1%prior 1,725
No Injury5,625no injury crashes74.1%
8.8%prior 5,169

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Year-over-year data shows a shift in the conditions under which crashes occurred. The proportion of crashes on dry roads decreased from 53.6% in 2024 to 47.3% in 2025, with a corresponding increase in crashes on non-dry surfaces like snow and ice. Crashes involving freezing precipitation also rose from 575 to 755 incidents. The distribution of crashes by lighting conditions, however, remained stable, with daylight crashes accounting for the majority of incidents in both years.

Weather

Clear3,448 (62.0%)
0.7%prior 3,423
Cloudy938 (16.9%)
3.5%prior 906
Freezing Precipitation755 (13.6%)
31.3%prior 575
Rain395 (7.1%)
2.1%prior 387
Wind23 (0.4%)
43.8%prior 16

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight5,748 (76.5%)
8.8%prior 5,284
Dark1,766 (23.5%)
3.5%prior 1,706

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry3,593 (64.9%)
-5.1%prior 3,786
Wet800 (14.5%)
3.9%prior 770
Snow767 (13.9%)
49.2%prior 514
Ice190 (3.4%)
49.6%prior 127
Slush101 (1.8%)
102.0%prior 50
Sand, mud, dirt, oil, gravel36 (0.7%)
-16.3%prior 43
Other - Explain in Narrative27 (0.5%)
68.8%prior 16
Water (standing / moving)18 (0.3%)
-14.3%prior 21

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Vermont Crash Data, accessed programmatically via the Arcgis 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: Arcgis 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: vermont, VT
  • Total crash records analyzed: 7,593

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). "vermont, VT Crash Intelligence Report: 2025." Published July 5, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/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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Vermont (Statewide) Crash Report — 2025 | ThatCarHitMe.com