Yearly Traffic Safety Analysis

208 CRASHES IN
STOWE, VT
2012

All metrics benchmarked against2011

In 2012, Stowe experienced 208 crashes, representing a 22.39% decrease compared to the 268 crashes reported in 2011. A notable shift was the increase in total fatalities from 0 in 2011 to 1 in 2012. Additionally, DUI-related crashes saw a substantial reduction, dropping from 13 incidents in 2011 to 6 in 2012.

208

-22.4%was 268

Total Crash Events

1

Fatal Crashes

21

-8.7%was 23

Injury Crashes

1

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 · 2012-01-01 to 2012-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend for crashes in Stowe shows a significant decrease year-over-year. Total crashes fell by 22.39%, from 268 in 2011 to 208 in 2012. This reduction indicates a downward trend in overall crash incidents.

When Crashes Happen

The temporal patterns of crashes shifted between 2011 and 2012. In 2011, the peak day for crashes was Friday with 62 incidents, whereas in 2012, Saturday became the peak day with 42 crashes. The peak crash hour also changed, moving from 12 AM with 24 crashes in 2011 to 4 PM, also with 24 crashes, in 2012.

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes saw some changes year-over-year. Fatal crashes increased from 0 in 2011 to 1 in 2012, leading to a fatal rate of 0.48% in 2012 compared to 0% in the prior year. While the total number of injury crashes decreased from 23 to 21, their proportion of all crashes slightly increased from 8.6% in 2011 to 10.1% in 2012.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
Injury21minor injury crashes10.1%
-8.7%prior 23
No Injury186no injury crashes89.4%
-24.1%prior 245

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 95 incidents in 2011 to 66 in 2012, though their proportion of total crashes remained relatively stable (35.4% to 31.7%). Crashes on dry road surfaces increased in proportion from 36.9% in 2011 to 40.4% in 2012, despite a decrease in absolute numbers from 99 to 84. The proportion of crashes occurring in daylight conditions slightly increased from 67.5% in 2011 to 68.8% in 2012.

Weather

Clear66 (44.6%)
-30.5%prior 95
Freezing Precipitation35 (23.6%)
-27.1%prior 48
Cloudy34 (23.0%)
-34.6%prior 52
Rain11 (7.4%)
-21.4%prior 14
Wind2 (1.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Weather condition at time of crash

Lighting

Daylight143 (73.3%)
-21.0%prior 181
Dark52 (26.7%)
-20.0%prior 65

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Lighting condition field

Road Surface

Dry84 (52.5%)
-15.2%prior 99
Snow41 (25.6%)
-36.9%prior 65
Wet23 (14.4%)
-34.3%prior 35
Ice9 (5.6%)
0.0%prior 9
Slush2 (1.3%)
Other - Explain in Narrative1 (0.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · 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: 2012-01-01 through 2012-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2012-01-01 through 2012-12-31 (366 days)
  • Geographic scope: Stowe, VT
  • Total crash records analyzed: 208

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). "Stowe, VT Crash Intelligence Report: 2012." Published July 5, 2026. Reporting period: 2012-01-01 to 2012-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/stowe/2012-annual-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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Stowe, VT Crash Report — 2012 | ThatCarHitMe.com