Monthly Traffic Safety Analysis

637 CRASHES IN
VERMONT, VT
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, there were 637 total traffic crashes, a 7.6% increase from the 592 crashes recorded in July 2024. While overall crashes increased, the number of fatalities decreased from 6 to 5. The most significant year-over-year change was an 87.5% increase in bicycle-involved crashes, which rose from 8 to 15.

637

7.6%was 592

Total Crash Events

5

-16.7%was 6

Fatal Crashes

172

2.4%was 168

Injury Crashes

5

-16.7%was 6

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 19 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic collisions in July 2025 showed an upward trend compared to the same month in the prior year. The total number of crashes increased by 7.6%, from 592 to 637. Despite the rise in total incidents, fatalities decreased from 6 to 5, while total injuries saw a marginal increase from 168 to 172.

When Crashes Happen

The timing of crashes shifted significantly between the two periods. In July 2025, the peak day for crashes was Thursday with 131 incidents, whereas in July 2024, Monday was the peak day with 122 incidents. The peak hour also changed, moving from 1 p.m. (49 crashes) in the prior year to 3 p.m. (68 crashes) in the current year.

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes increased, the severity of those crashes lessened year-over-year. The fatal crash rate decreased from 1.01 per 100 crashes in July 2024 to 0.78 in July 2025, with total fatalities dropping from 6 to 5. The proportion of crashes resulting in any injury also saw a slight decline, falling from 28.4% of all crashes in the prior year to 27.0% in the current year.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.8%
-16.7%prior 6
Injury172minor injury crashes27%
2.4%prior 168
No Injury441no injury crashes69.2%
7.3%prior 411

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions remained broadly consistent year-over-year, with a notable shift only in lighting. The proportion of crashes occurring in daylight increased from 77.0% to 82.6% of reported-condition crashes, while crashes in darkness decreased from 21.6% to 16.2%. The distribution of crashes by weather and road surface conditions saw minimal changes, with clear weather and dry roads being the predominant conditions in both July 2024 and July 2025.

Weather

Clear373 (82.5%)
6.0%prior 352
Cloudy49 (10.8%)
4.3%prior 47
Rain30 (6.6%)
-14.3%prior 35

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight526 (83.6%)
15.4%prior 456
Dark103 (16.4%)
-19.5%prior 128

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Road Surface

Dry395 (90.2%)
3.4%prior 382
Wet39 (8.9%)
14.7%prior 34
Sand, mud, dirt, oil, gravel3 (0.7%)
-62.5%prior 8
Water (standing / moving)1 (0.2%)
-87.5%prior 8

Source: Vermont Crash Data · Arcgis Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 637

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: July 2025." Published July 5, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/july-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 — July 2025 | ThatCarHitMe.com