Monthly Traffic Safety Analysis

1,558 CRASHES IN
VERMONT, VT
NOVEMBER 2019

All metrics benchmarked againstNovember 2018

In November 2019, there were 1,558 total crashes, a 73.5% increase from the 898 crashes recorded in November 2018. While the number of fatalities remained constant at five for both periods, the number of reported injuries rose from 147 to 195. The most significant year-over-year change was the sharp rise in overall crash incidents.

1,558

73.5%was 898

Total Crash Events

5

Fatal Crashes

195

32.7%was 147

Injury Crashes

5

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 504 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash trends show a significant year-over-year increase for the month of November. Total crashes rose from 898 in November 2018 to 1,558 in November 2019, a 73.5% increase. Similarly, total injuries increased by 32.7% from 147 to 195, while fatalities held steady at five in both periods.

When Crashes Happen

The temporal patterns of crashes remained consistent year-over-year, though the volume of incidents increased significantly. Friday was the peak day for crashes in both November 2019 (354 crashes) and November 2018 (204 crashes). The 5 p.m. hour was also the peak time in both periods, with crashes at that hour increasing from 79 in 2018 to 173 in 2019.

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the absolute number of fatal crashes and fatalities remained unchanged at five year-over-year, the fatal crash rate per 100 crashes decreased from 0.56 in November 2018 to 0.32 in November 2019. This decrease in rate is due to the large increase in total non-fatal crashes. The number of persons injured rose by 32.7%, from 147 to 195.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.3%
0.0%prior 5
Injury195minor injury crashes12.5%
32.7%prior 147
No Injury854no injury crashes54.8%
14.5%prior 746

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · Most severe injury per crash record

Road & Environmental Conditions

Year-over-year data indicates a shift in crash conditions, with a higher proportion of incidents occurring on dry roads in November 2019. Crashes on dry road surfaces increased from 244 to 381, accounting for 44.4% of crashes with reported road conditions in 2019 versus 33.9% in 2018. In terms of weather, crashes in clear conditions increased from 207 to 353. The proportion of crashes occurring in daylight remained stable at approximately 72% for both periods.

Weather

Clear353 (42.1%)
70.5%prior 207
Freezing Precipitation238 (28.4%)
-5.6%prior 252
Cloudy202 (24.1%)
27.0%prior 159
Rain44 (5.3%)
-46.3%prior 82
Wind1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · Weather condition at time of crash

Lighting

Daylight1,105 (71.6%)
72.9%prior 639
Dark438 (28.4%)
78.8%prior 245

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · Lighting condition field

Road Surface

Dry381 (44.4%)
56.1%prior 244
Snow189 (22.0%)
-12.9%prior 217
Wet163 (19.0%)
-8.4%prior 178
Ice85 (9.9%)
136.1%prior 36
Slush29 (3.4%)
7.4%prior 27
Other - Explain in Narrative7 (0.8%)
-22.2%prior 9
Sand, mud, dirt, oil, gravel4 (0.5%)
Water (standing / moving)1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2019-11-01 to 2019-11-30 · 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: 2019-11-01 through 2019-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2019-11-01 through 2019-11-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,558

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 2019." Published July 5, 2026. Reporting period: 2019-11-01 to 2019-11-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/november-2019-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 2019 | ThatCarHitMe.com