Yearly Traffic Safety Analysis

180 CRASHES IN
STOWE, VT
2022

All metrics benchmarked against2021

Total crashes in Stowe increased from 150 in 2021 to 180 in 2022, marking a 20% rise year-over-year. The most significant shift was a 106.7% increase in total injuries, which rose from 15 in 2021 to 31 in 2022. This indicates a notable increase in both crash frequency and the number of reported injuries.

180

20.0%was 150

Total Crash Events

0

Fatal Crashes

31

106.7%was 15

Injury Crashes

0

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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash data for Stowe shows an upward trend, with total crashes increasing by 20% from 150 in 2021 to 180 in 2022. While fatalities remained at zero in both periods, total injuries saw a substantial increase of 106.7%, rising from 15 in 2021 to 31 in 2022. This suggests a concerning trend of more frequent and more injurious crashes year-over-year.

When Crashes Happen

The peak day for crashes shifted from Saturday in 2021, with 33 crashes, to Friday in 2022, with 38 crashes. The peak crash hour also changed, moving from 10 AM in 2021 (19 crashes) to 4 PM in 2022 (22 crashes). Monthly crash counts show variability, with August experiencing a notable increase from 6 crashes in 2021 to 15 in 2022.

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The proportion of crashes resulting in injuries increased from 10% (15 crashes) in 2021 to 17.2% (31 crashes) in 2022. This represents a 106.7% increase in the absolute number of injuries reported year-over-year. Both periods reported zero fatalities, indicating that while injuries became more prevalent, the most severe outcomes remained stable.

Outcome by Severity (Crash Events)

Injury31minor injury crashes17.2%
106.7%prior 15
No Injury149no injury crashes82.8%
10.4%prior 135

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in Clear weather conditions increased from 36 in 2021 to 81 in 2022, remaining the most common weather type for crashes. Crashes on Wet road surfaces saw a substantial rise from 2 in 2021 to 18 in 2022, and crashes on Ice surfaces increased from 1 to 6. The proportion of crashes occurring in Daylight conditions slightly decreased from 85.3% (128 of 150) in 2021 to 80.6% (145 of 180) in 2022.

Weather

Clear81 (57.0%)
125.0%prior 36
Freezing Precipitation31 (21.8%)
72.2%prior 18
Cloudy24 (16.9%)
Rain6 (4.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight145 (81.5%)
13.3%prior 128
Dark33 (18.5%)
50.0%prior 22

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry84 (59.2%)
147.1%prior 34
Snow29 (20.4%)
38.1%prior 21
Wet18 (12.7%)
Ice6 (4.2%)
Sand, mud, dirt, oil, gravel2 (1.4%)
Other - Explain in Narrative2 (1.4%)
Slush1 (0.7%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: Stowe, VT
  • Total crash records analyzed: 180

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: 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/stowe/2022-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

ThatCarHitMe.com · An Injuria.ai Company

Stowe, VT Crash Report — 2022 | ThatCarHitMe.com