Monthly Traffic Safety Analysis

548 CRASHES IN
VERMONT, VT
NOVEMBER 2024

All metrics benchmarked againstNovember 2023

In November 2024, there were 548 total crashes, a 9.0% decrease from the 602 crashes recorded in November 2023. While overall crashes and the number of people injured declined, the number of fatalities rose from three to four. The most notable shift was a 27.6% increase in crashes involving driving under the influence (DUI), which rose from 29 to 37 incidents year-over-year.

548

-9.0%was 602

Total Crash Events

4

33.3%was 3

Fatal Crashes

128

-3.8%was 133

Injury Crashes

4

33.3%was 3

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 11 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year data indicates a downward trend in traffic collisions for November. Total crashes decreased by 9.0%, from 602 in November 2023 to 548 in November 2024. Similarly, the number of persons injured in these crashes saw a modest decline of 3.8%, falling from 133 to 128.

When Crashes Happen

The temporal pattern of crashes showed some changes between November 2023 and November 2024. Thursday remained the day with the highest number of crashes in both periods, with 112 incidents in the current period compared to 124 in the prior year. However, the peak hour for crashes shifted from the 5 PM evening commute hour in 2023 (64 crashes) to the 12 PM midday hour in 2024 (50 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the severity profile shifted slightly year-over-year. The number of fatal crashes increased from 3 to 4, and their share of all crashes rose from 0.5% to 0.7%. The proportion of crashes resulting in an injury also increased, from 22.1% of all crashes in November 2023 to 23.4% in November 2024. Consequently, the share of crashes with no injuries reported decreased from 75.4% to 73.9% over the same period.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.7%
33.3%prior 3
Injury128minor injury crashes23.4%
-3.8%prior 133
No Injury405no injury crashes73.9%
-10.8%prior 454

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of crashes across environmental conditions remained broadly similar year-over-year. The share of crashes occurring in daylight increased slightly to 71.4% in November 2024 from 68.1% in the prior year. Proportions of crashes on dry roads (51.5% vs. 52.8%) and during adverse weather conditions were also comparable between the two periods.

Weather

Clear231 (53.8%)
-12.2%prior 263
Cloudy91 (21.2%)
-20.2%prior 114
Freezing Precipitation60 (14.0%)
9.1%prior 55
Rain47 (11.0%)
51.6%prior 31

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · Weather condition at time of crash

Lighting

Daylight391 (72.0%)
-4.6%prior 410
Dark152 (28.0%)
-19.1%prior 188

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · Lighting condition field

Road Surface

Dry282 (65.4%)
-11.3%prior 318
Wet88 (20.4%)
22.2%prior 72
Snow46 (10.7%)
2.2%prior 45
Ice9 (2.1%)
-57.1%prior 21
Slush3 (0.7%)
-57.1%prior 7
Sand, mud, dirt, oil, gravel2 (0.5%)
-60.0%prior 5
Water (standing / moving)1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2024-11-01 to 2024-11-30 · 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: 2024-11-01 through 2024-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-11-01 through 2024-11-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 548

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: November 2024." Published July 5, 2026. Reporting period: 2024-11-01 to 2024-11-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/november-2024-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 — November 2024 | ThatCarHitMe.com