Monthly Traffic Safety Analysis

1,519 CRASHES IN
VERMONT, VT
FEBRUARY 2014

All metrics benchmarked againstFebruary 2013

In February 2014, Vermont recorded 1,519 total traffic crashes, a 28.6% increase from the 1,181 crashes recorded in February 2013. While total collisions rose significantly, the number of fatalities decreased from 4 to 3 year-over-year. A notable factor in the overall increase was a rise in crashes on adverse road surfaces, with incidents on snowy roads increasing from 248 to 389.

1,519

28.6%was 1,181

Total Crash Events

3

-25.0%was 4

Fatal Crashes

153

-2.5%was 157

Injury Crashes

3

-25.0%was 4

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 446 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic crashes in Vermont increased significantly in February 2014 compared to the same month in the prior year. The state saw a 28.6% rise in total collisions, from 1,181 to 1,519. Despite this sharp increase in crashes, the number of resulting injuries and fatalities saw a slight decrease, with injuries falling from 157 to 153 and fatalities dropping from 4 to 3.

When Crashes Happen

The temporal patterns of crashes showed a significant intensification in February 2014. While Friday remained the peak day for crashes in both years, the number of incidents on that day increased from 224 to 402. The peak hour for crashes shifted slightly earlier from 4 p.m. (116 crashes) in 2013 to 3 p.m. (120 crashes) in 2014. Morning commute hours also saw a notable rise in collisions, with the 7 a.m. to 9 a.m. block experiencing 198 crashes, up from a combined 109 in the prior year.

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Despite a large increase in total crashes, the severity of incidents decreased in February 2014 compared to the previous year. The number of fatalities fell from 4 to 3, and the fatal crash rate dropped from 0.3% to 0.2% of all crashes. Similarly, the number of injuries decreased from 157 to 153, and the proportion of crashes resulting in injury fell from 13.3% in 2013 to 10.1% in 2014.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.2%
-25.0%prior 4
Injury153minor injury crashes10.1%
-2.5%prior 157
No Injury917no injury crashes60.4%
19.9%prior 765

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · Most severe injury per crash record

Road & Environmental Conditions

The most significant year-over-year change in crash conditions was related to road surface. Crashes occurring on snowy roads increased from 248 to 389, and their share of total incidents grew from 21.0% in February 2013 to 25.6% in February 2014. Conversely, the proportion of crashes on dry roads decreased from 30.1% to 22.1%. While crashes in daylight conditions increased in number from 793 to 1,052, their proportion of the total remained stable.

Weather

Clear430 (43.7%)
24.6%prior 345
Freezing Precipitation312 (31.7%)
20.9%prior 258
Cloudy214 (21.8%)
-8.9%prior 235
Rain22 (2.2%)
57.1%prior 14
Wind5 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · Weather condition at time of crash

Lighting

Daylight1,052 (69.8%)
32.7%prior 793
Dark456 (30.2%)
21.3%prior 376

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · Lighting condition field

Road Surface

Snow389 (39.4%)
56.9%prior 248
Dry336 (34.0%)
-5.6%prior 356
Wet139 (14.1%)
-6.1%prior 148
Ice86 (8.7%)
26.5%prior 68
Slush28 (2.8%)
-9.7%prior 31
Other - Explain in Narrative7 (0.7%)
40.0%prior 5
Sand, mud, dirt, oil, gravel2 (0.2%)
Water (standing / moving)1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-02-01 to 2014-02-28 · 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: 2014-02-01 through 2014-02-28
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-02-01 through 2014-02-28 (28 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,519

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: February 2014." Published July 5, 2026. Reporting period: 2014-02-01 to 2014-02-28. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/february-2014-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 — February 2014 | ThatCarHitMe.com