Monthly Traffic Safety Analysis

605 CRASHES IN
VERMONT, VT
JUNE 2025

All metrics benchmarked againstJune 2024

In June 2025, there were 605 total crashes, a 1.5% increase from the 596 crashes recorded in June 2024. While total crashes remained relatively stable, the most significant year-over-year change was a 50% reduction in traffic fatalities, which fell from 6 to 3.

605

1.5%was 596

Total Crash Events

3

-50.0%was 6

Fatal Crashes

154

-4.3%was 161

Injury Crashes

3

-50.0%was 6

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 12 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash totals remained stable, rising by just 1.5% from 596 in June 2024 to 605 in June 2025. However, the severity of crashes decreased, with total fatalities dropping by 50% (from 6 to 3) and total injuries declining by 4.3% (from 161 to 154) over the same period.

When Crashes Happen

The temporal patterns of crashes shifted year-over-year. The day with the most crashes changed from Wednesday (114 crashes) in the prior period to Monday (97 crashes) in the current period. The peak hour for collisions also shifted from 12 p.m. (52 crashes) in June 2024 to 3 p.m. (59 crashes) in June 2025.

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity decreased compared to the previous year. The number of fatalities was halved, dropping from 6 in June 2024 to 3 in June 2025. The proportion of crashes resulting in injury also decreased from 27.0% to 25.5%, while the share of crashes with no injuries increased from 69.8% to 72.1% of all incidents.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.5%
-50.0%prior 6
Injury154minor injury crashes25.5%
-4.3%prior 161
No Injury436no injury crashes72.1%
4.8%prior 416

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of crashes across environmental conditions was largely consistent year-over-year. In June 2025, 80.5% of crashes occurred in daylight, compared to 79.0% in the prior year. The proportion of crashes on wet road surfaces decreased from 10.1% in June 2024 to 6.6% in June 2025, while crashes on dry roads accounted for 63.0% of the total, down from 65.4%.

Weather

Clear339 (77.9%)
-6.9%prior 364
Cloudy62 (14.3%)
10.7%prior 56
Rain33 (7.6%)
-23.3%prior 43
Wind1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight487 (81.4%)
3.4%prior 471
Dark111 (18.6%)
-7.5%prior 120

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry381 (89.2%)
-2.3%prior 390
Wet40 (9.4%)
-33.3%prior 60
Water (standing / moving)2 (0.5%)
Sand, mud, dirt, oil, gravel2 (0.5%)
-66.7%prior 6
Other - Explain in Narrative1 (0.2%)
Ice1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 605

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: June 2025." Published July 5, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/june-2025-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 — June 2025 | ThatCarHitMe.com