Monthly Traffic Safety Analysis

858 CRASHES IN
VERMONT, VT
NOVEMBER 2020

All metrics benchmarked againstNovember 2019

In November 2020, there were 858 total crashes, a 44.9% decrease from the 1,558 crashes recorded in November 2019. This significant drop in total collisions represents the most notable year-over-year change in the data. Correspondingly, total injuries fell from 195 to 120, and fatalities decreased from 5 to 3.

858

-44.9%was 1,558

Total Crash Events

3

-40.0%was 5

Fatal Crashes

120

-38.5%was 195

Injury Crashes

3

-40.0%was 5

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 323 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for November 2020 indicates a significant downward trend compared to the same month in the prior year. Total crashes fell by 44.9%, from 1,558 in November 2019 to 858 in November 2020. This decline was also reflected in crash outcomes, with total injuries decreasing by 38.5% and fatalities dropping by 40%.

When Crashes Happen

The temporal distribution of crashes shifted between November 2019 and November 2020. The peak day for crashes moved from Friday (354 crashes) in the prior year to Monday (175 crashes) in the current period. While the 5 p.m. hour remained the peak time for collisions in both periods, the number of crashes during that hour decreased from 173 to 82. Overall, the daily crash volume in November 2020 was lower and showed less variation than in November 2019.

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the total number of fatal crashes decreased from 5 to 3 year-over-year, the fatal crash rate saw a slight increase from 0.32% in November 2019 to 0.35% in November 2020. The proportion of crashes resulting in an injury increased, accounting for 14% of collisions in November 2020 compared to 12.5% in the prior year. Consequently, the share of crashes with no reported injuries decreased from 54.8% in the prior period to 48% in the current period.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.3%
-40.0%prior 5
Injury120minor injury crashes14%
-38.5%prior 195
No Injury412no injury crashes48%
-51.8%prior 854

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · Most severe injury per crash record

Road & Environmental Conditions

The environmental conditions surrounding crashes changed notably year-over-year. In November 2020, a larger share of collisions occurred during clear weather and on dry roads compared to November 2019. Crashes on adverse road surfaces like snow, ice, or slush accounted for 16.0% of the total in the current period, down from 35.3% in the prior year. The proportion of crashes occurring in darkness increased from 28.4% in 2019 to 34.8% in 2020.

Weather

Clear259 (60.2%)
-26.6%prior 353
Cloudy67 (15.6%)
-66.8%prior 202
Freezing Precipitation62 (14.4%)
-73.9%prior 238
Rain41 (9.5%)
-6.8%prior 44
Wind1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · Weather condition at time of crash

Lighting

Daylight557 (65.2%)
-49.6%prior 1,105
Dark297 (34.8%)
-32.2%prior 438

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · Lighting condition field

Road Surface

Dry304 (69.4%)
-20.2%prior 381
Wet58 (13.2%)
-64.4%prior 163
Snow46 (10.5%)
-75.7%prior 189
Ice23 (5.3%)
-72.9%prior 85
Other - Explain in Narrative3 (0.7%)
-57.1%prior 7
Sand, mud, dirt, oil, gravel2 (0.5%)
Slush1 (0.2%)
-96.6%prior 29
Water (standing / moving)1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2020-11-01 to 2020-11-30 · 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: 2020-11-01 through 2020-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2020-11-01 through 2020-11-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 858

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 2020." Published July 5, 2026. Reporting period: 2020-11-01 to 2020-11-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/november-2020-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 2020 | ThatCarHitMe.com