Monthly Traffic Safety Analysis

1,239 CRASHES IN
VERMONT, VT
DECEMBER 2011

All metrics benchmarked againstDecember 2010

In December 2011, Vermont recorded 1,239 total traffic crashes, a 5.6% decrease from the 1,313 crashes documented in December 2010. The most notable year-over-year shift was in crash severity, with traffic fatalities falling from 8 to 3. Despite the overall drop in crashes, the number of people injured increased from 219 to 234.

1,239

-5.6%was 1,313

Total Crash Events

3

-62.5%was 8

Fatal Crashes

234

6.8%was 219

Injury Crashes

3

-62.5%was 8

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic crashes in Vermont showed a downward trend in December 2011 compared to the previous year, decreasing by 5.6% from 1,313 to 1,239 incidents. This decline in total crashes was accompanied by a significant drop in fatalities from 8 to 3. However, the number of people injured in crashes saw a slight increase, rising from 219 to 234.

When Crashes Happen

The timing of crashes shifted between the two periods. In December 2010, crashes peaked on Monday (231 incidents) and Wednesday (249 incidents), while in December 2011, the peak shifted to Friday (242 incidents). The busiest time of day also moved later into the afternoon commute, with the peak hour for crashes changing from 3 PM in 2010 (121 crashes) to 5 PM in 2011 (113 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity improved notably year-over-year, with fatal crashes decreasing from 8 in December 2010 to 3 in December 2011. This represents a drop in the fatal crash rate from 0.6% to 0.2% of all incidents. In contrast, the proportion of crashes resulting in an injury increased, rising from 16.7% of all crashes in the prior year (219 injury crashes) to 18.9% in the current year (234 injury crashes).

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.2%
-62.5%prior 8
Injury234minor injury crashes18.9%
6.8%prior 219
No Injury1,001no injury crashes80.8%
-6.6%prior 1,072

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · Most severe injury per crash record

Road & Environmental Conditions

A significant change was observed in the environmental conditions under which crashes occurred. In December 2010, adverse conditions were dominant, with crashes on snow-covered roads (539) and during freezing precipitation (442) being most frequent. In December 2011, crashes on dry roads were most common (546 incidents), and incidents on snow-covered roads fell to 161. While crashes during freezing precipitation also dropped, incidents on icy roads increased from 96 to 172.

Weather

Clear505 (44.6%)
36.9%prior 369
Cloudy292 (25.8%)
-22.1%prior 375
Freezing Precipitation232 (20.5%)
-47.5%prior 442
Rain99 (8.7%)
102.0%prior 49
Wind4 (0.4%)
-78.9%prior 19

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · Weather condition at time of crash

Lighting

Daylight888 (72.6%)
-12.8%prior 1,018
Dark335 (27.4%)
13.9%prior 294

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · Lighting condition field

Road Surface

Dry546 (47.4%)
71.7%prior 318
Wet237 (20.6%)
-2.1%prior 242
Ice172 (14.9%)
79.2%prior 96
Snow161 (14.0%)
-70.1%prior 539
Slush18 (1.6%)
-69.0%prior 58
Other - Explain in Narrative11 (1.0%)
Sand, mud, dirt, oil, gravel7 (0.6%)
16.7%prior 6

Source: Vermont Crash Data · Arcgis Open Data · 2011-12-01 to 2011-12-31 · 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: 2011-12-01 through 2011-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2011-12-01 through 2011-12-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,239

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: December 2011." Published July 5, 2026. Reporting period: 2011-12-01 to 2011-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/december-2011-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

ThatCarHitMe.com · An Injuria.ai Company

Vermont (Statewide) Crash Report — December 2011 | ThatCarHitMe.com