Monthly Traffic Safety Analysis

1,035 CRASHES IN
VERMONT, VT
NOVEMBER 2015

All metrics benchmarked againstNovember 2014

In November 2015, Vermont recorded 1,035 total vehicle crashes, a 2.6% increase from the 1,009 crashes documented in November 2014. While overall crashes rose slightly, fatalities decreased from 5 to 4 and total injuries fell by 16.1% from 186 to 156. The most significant year-over-year change was a sharp reduction in crashes occurring in adverse winter conditions, with incidents on snow or ice-covered roads falling from 218 in the prior period to just 21 in the current period.

1,035

▲ 2.6%was 1,009

Total Crash Events

4

▼ -20.0%was 5

Fatal Crashes

156

▼ -16.1%was 186

Injury Crashes

4

▼ -20.0%was 5

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 226 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year, the total number of crashes in Vermont for November saw a slight increase, rising 2.6% from 1,009 in 2014 to 1,035 in 2015. Despite this modest rise in total incidents, the outcomes were less severe. The number of reported injuries decreased by 16.1% from 186 to 156, and total fatalities dropped from 5 to 4.

When Crashes Happen

The temporal patterns of crashes showed some shifts between November 2014 and November 2015. The peak day for crashes moved from Friday, with 174 incidents in the prior year, to Tuesday with 182 incidents in the current year. The peak hour for collisions remained the 5 p.m. hour in both periods, though the number of crashes during this evening peak increased from 98 in November 2014 to 121 in November 2015.

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

A comparison of crash severity reveals a decrease in the proportion of serious incidents in November 2015 compared to the previous year. The fatal crash rate declined from 0.5% to 0.39% of total crashes. Similarly, the share of crashes resulting in an injury fell from 18.4% of classified incidents in November 2014 (186 incidents) to 15.1% in November 2015 (156 incidents).

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.4%
↓-20.0%prior 5
Injury156minor injury crashes15.1%
↓-16.1%prior 186
No Injury649no injury crashes62.7%
↓-20.6%prior 817

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · Most severe injury per crash record

Road & Environmental Conditions

Driving conditions associated with crashes changed significantly between the two periods. In November 2015, there was a substantial decrease in crashes on adverse road surfaces, with incidents on snow or ice dropping from a combined 218 to 21. Correspondingly, crashes during freezing precipitation fell from 185 to 17. Conversely, crashes on dry roads increased from 538 to 637, and the number of incidents occurring in darkness rose from 290 to 319.

Weather

Clear521 (71.1%)
↑31.2%prior 397
Cloudy148 (20.2%)
↓-43.1%prior 260
Rain47 (6.4%)
↓-33.8%prior 71
Freezing Precipitation17 (2.3%)
↓-90.8%prior 185

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · Weather condition at time of crash

Lighting

Daylight711 (69.0%)
↓-0.1%prior 712
Dark319 (31.0%)
↑10.0%prior 290

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · Lighting condition field

Road Surface

Dry637 (85.3%)
↑18.4%prior 538
Wet78 (10.4%)
↓-43.5%prior 138
Ice19 (2.5%)
↓-72.1%prior 68
Sand, mud, dirt, oil, gravel8 (1.1%)
Other - Explain in Narrative2 (0.3%)
Snow2 (0.3%)
↓-98.7%prior 150
Water (standing / moving)1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2015-11-01 to 2015-11-30 · 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: 2015-11-01 through 2015-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2015-11-01 through 2015-11-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,035

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 2015." Published July 5, 2026. Reporting period: 2015-11-01 to 2015-11-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/november-2015-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 2015 | ThatCarHitMe.com