Monthly Traffic Safety Analysis

1,009 CRASHES IN
VERMONT, VT
NOVEMBER 2012

All metrics benchmarked againstNovember 2011

In November 2012, there were 1,009 total traffic crashes in Vermont, an increase from 955 crashes in November 2011, representing a 5.7% year-over-year rise. Fatalities also increased from 3 to 5. A notable factor in this increase was a significant rise in crashes occurring during adverse weather, with incidents involving freezing precipitation increasing from 77 to 142 and those on snowy or icy roads more than doubling.

1,009

5.7%was 955

Total Crash Events

5

66.7%was 3

Fatal Crashes

184

2.8%was 179

Injury Crashes

5

66.7%was 3

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons.

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic collisions increased in November 2012 compared to the same month in the prior year. Total crashes rose by 5.7% from 955 to 1,009. This upward trend was also reflected in crash outcomes, with total injuries increasing slightly from 179 to 184 and total fatalities rising from 3 to 5.

When Crashes Happen

The timing of crashes shifted between the two periods. In November 2012, Friday was the peak day for crashes with 187 incidents, a change from November 2011 when Tuesday saw the most crashes at 198. The peak hour for collisions also shifted later in the day, moving from 3 p.m. in 2011 (82 crashes) to the 5 p.m. commute hour in 2012, which saw 121 crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes saw a mixed change year-over-year. The number of fatal crashes increased from 3 in November 2011 to 5 in November 2012, with the fatal crash rate rising from 0.31% to 0.50%. Conversely, the proportion of crashes resulting in any injury decreased slightly from 18.7% to 18.2% of all incidents, while the share of non-injury crashes rose from 80.8% to 81.3%.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.5%
66.7%prior 3
Injury184minor injury crashes18.2%
2.8%prior 179
No Injury820no injury crashes81.3%
6.2%prior 772

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · Most severe injury per crash record

Road & Environmental Conditions

There was a notable year-over-year increase in crashes occurring in adverse road and weather conditions. Crashes involving freezing precipitation rose from 77 incidents (8.1% of total) in November 2011 to 142 (14.1% of total) in November 2012. Similarly, collisions on snowy or icy surfaces increased significantly; crashes on snow rose from 56 to 107, and crashes on ice increased from 27 to 67. The proportion of crashes in daylight versus dark conditions remained relatively stable across both periods.

Weather

Clear541 (58.1%)
2.3%prior 529
Cloudy209 (22.4%)
-1.9%prior 213
Freezing Precipitation142 (15.3%)
84.4%prior 77
Rain38 (4.1%)
-11.6%prior 43
Wind1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · Weather condition at time of crash

Lighting

Daylight717 (72.0%)
8.3%prior 662
Dark279 (28.0%)
0.7%prior 277

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · Lighting condition field

Road Surface

Dry657 (70.3%)
-1.1%prior 664
Snow107 (11.5%)
91.1%prior 56
Wet89 (9.5%)
-16.0%prior 106
Ice67 (7.2%)
148.1%prior 27
Sand, mud, dirt, oil, gravel9 (1.0%)
12.5%prior 8
Slush3 (0.3%)
-75.0%prior 12
Water (standing / moving)1 (0.1%)
Other - Explain in Narrative1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2012-11-01 to 2012-11-30 · 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: 2012-11-01 through 2012-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2012-11-01 through 2012-11-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,009

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 2012." Published July 5, 2026. Reporting period: 2012-11-01 to 2012-11-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/november-2012-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 2012 | ThatCarHitMe.com