Monthly Traffic Safety Analysis

1,880 CRASHES IN
VERMONT, VT
DECEMBER 2013

All metrics benchmarked againstDecember 2012

In December 2013, there were 1,880 total crashes recorded in Vermont, representing a 65.1% increase from the 1,139 crashes in December 2012. This surge in collisions was accompanied by a significant rise in severe outcomes, as the number of fatalities more than doubled from 4 to 9. The most notable year-over-year shift was the sharp increase in total crash volume, primarily driven by incidents on snowy roads.

1,880

65.1%was 1,139

Total Crash Events

9

125.0%was 4

Fatal Crashes

204

13.3%was 180

Injury Crashes

9

125.0%was 4

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 608 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for December 2013 indicates a significant upward trend compared to the same month in the prior year. Total collisions increased by 65.1%, from 1,139 to 1,880. This increase was accompanied by a 125% rise in fatalities, from 4 to 9, and a 13.3% increase in total injuries, from 180 to 204.

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. The peak day for collisions moved from Saturday (233 crashes) in December 2012 to Sunday (319 crashes) in December 2013. While the 5 p.m. hour remained the peak time for crashes in both years, the number of incidents during this hour increased by 87.3%, from 102 to 191.

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes worsened year-over-year. The number of fatal crashes increased from 4 in December 2012 to 9 in December 2013, and the corresponding fatal crash rate rose from 0.35 to 0.48 per 100 collisions. While the absolute number of people injured increased from 180 to 204, the proportion of all crashes that involved an injury decreased from 15.8% to 10.9%, suggesting the overall crash increase was largely composed of non-injury events.

Outcome by Severity (Crash Events)

Fatal9fatal crashes0.5%
125.0%prior 4
Injury204minor injury crashes10.9%
13.3%prior 180
No Injury1,059no injury crashes56.3%
10.9%prior 955

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Driving conditions associated with crashes shifted notably year-over-year. The most common road surface condition for crashes changed from 'Dry' (396 crashes) in December 2012 to 'Snow' (378 crashes) in December 2013. The proportion of crashes occurring in dark lighting conditions also increased, rising from 26.7% to 30.2% of incidents with known lighting. Although 'Freezing Precipitation' was a leading weather factor in both periods, its share of total crashes decreased from 30.6% to 20.2%.

Weather

Freezing Precipitation379 (33.7%)
8.6%prior 349
Cloudy366 (32.6%)
26.6%prior 289
Clear347 (30.9%)
6.1%prior 327
Rain31 (2.8%)
-59.7%prior 77

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · Weather condition at time of crash

Lighting

Daylight1,305 (69.8%)
57.2%prior 830
Dark564 (30.2%)
86.1%prior 303

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · Lighting condition field

Road Surface

Snow378 (32.6%)
23.9%prior 305
Dry312 (26.9%)
-21.2%prior 396
Wet240 (20.7%)
12.1%prior 214
Ice138 (11.9%)
51.6%prior 91
Slush71 (6.1%)
69.0%prior 42
Other - Explain in Narrative11 (0.9%)
120.0%prior 5
Sand, mud, dirt, oil, gravel7 (0.6%)
Water (standing / moving)1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2013-12-01 to 2013-12-31 · 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: 2013-12-01 through 2013-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2013-12-01 through 2013-12-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,880

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 2013." Published July 5, 2026. Reporting period: 2013-12-01 to 2013-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/december-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 — December 2013 | ThatCarHitMe.com