Monthly Traffic Safety Analysis

1,367 CRASHES IN
VERMONT, VT
NOVEMBER 2013

All metrics benchmarked againstNovember 2012

In November 2013, Vermont recorded 1,367 total vehicle crashes, a 35.5% increase from the 1,009 crashes documented in November 2012. Total fatalities rose from 5 to 6, and injuries increased slightly from 184 to 189. The most notable year-over-year shift was the significant rise in overall crash volume, particularly a sharp 81% increase in collisions occurring in dark lighting conditions.

1,367

▲ 35.5%was 1,009

Total Crash Events

6

▲ 20.0%was 5

Fatal Crashes

189

▲ 2.7%was 184

Injury Crashes

6

▲ 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. 313 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic crash data indicates a significant upward trend year-over-year. Total collisions increased by 35.5%, rising from 1,009 in November 2012 to 1,367 in November 2013. This overall increase was accompanied by a modest rise in total injuries from 184 to 189 and an increase in fatalities from 5 to 6.

When Crashes Happen

The primary temporal patterns for crashes remained consistent between the two periods. Friday was the peak day for crashes in both November 2013 (273 crashes) and November 2012 (187 crashes), and the 5 p.m. hour was the peak hour in both years (127 and 121 crashes, respectively). However, a notable shift occurred in the weekly distribution, with crash counts on Wednesdays increasing from 135 to 234 and on Saturdays from 114 to 235.

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the absolute number of fatal crashes increased from 5 to 6 year-over-year, the fatal crash rate per 100 crashes decreased from 0.5% to 0.44%. The total number of injuries remained stable, with 189 in November 2013 compared to 184 in the prior year. The proportion of crashes resulting in an injury declined from 18.2% in 2012 to 13.8% in 2013, while crashes involving no injuries increased from 820 to 859.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.4%
↑20.0%prior 5
Injury189minor injury crashes13.8%
↑2.7%prior 184
No Injury859no injury crashes62.8%
↑4.8%prior 820

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions shifted notably year-over-year, especially concerning lighting. While total crashes grew by 35.5%, collisions in dark conditions increased by 81%, from 279 to 505 incidents. Consequently, dark-condition crashes accounted for 36.9% of all collisions in November 2013, up from 27.7% in 2012. Similarly, crashes on wet roads increased from 89 to 139, while those on dry roads decreased from 657 to 593.

Weather

Clear470 (51.0%)
↓-13.1%prior 541
Cloudy252 (27.4%)
↑20.6%prior 209
Freezing Precipitation134 (14.5%)
↓-5.6%prior 142
Rain62 (6.7%)
↑63.2%prior 38
Wind3 (0.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · Weather condition at time of crash

Lighting

Daylight855 (62.9%)
↑19.2%prior 717
Dark505 (37.1%)
↑81.0%prior 279

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · Lighting condition field

Road Surface

Dry593 (63.4%)
↓-9.7%prior 657
Wet139 (14.9%)
↑56.2%prior 89
Snow88 (9.4%)
↓-17.8%prior 107
Ice83 (8.9%)
↑23.9%prior 67
Slush24 (2.6%)
Other - Explain in Narrative5 (0.5%)
Water (standing / moving)3 (0.3%)
Sand, mud, dirt, oil, gravel1 (0.1%)
↓-88.9%prior 9

Source: Vermont Crash Data · Arcgis Open Data · 2013-11-01 to 2013-11-30 · 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: 2013-11-01 through 2013-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2013-11-01 through 2013-11-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,367

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 2013." Published July 5, 2026. Reporting period: 2013-11-01 to 2013-11-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/november-2013-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 2013 | ThatCarHitMe.com