Yearly Traffic Safety Analysis

11 CRASHES IN
CAVENDISH, VT
2011

All metrics benchmarked against2010

In 2011, Cavendish recorded 11 total crashes, a 45% decrease from the 20 crashes reported in 2010. Despite this significant drop in overall collisions, the number of fatal crashes remained constant at one for both years. The total number of injuries also saw a substantial decline, falling from 11 in 2010 to 6 in 2011.

11

▼ -45.0%was 20

Total Crash Events

1

Fatal Crashes

6

▼ -45.5%was 11

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 · 2011-01-01 to 2011-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for Cavendish shows a significant downward trend year-over-year. Total crashes decreased by 45%, from 20 in 2010 to 11 in 2011. Similarly, the number of people injured in these incidents fell by 45.5%, from 11 to 6, while the number of fatalities held steady at one for both periods.

When Crashes Happen

The temporal patterns of crashes shifted between 2010 and 2011. The peak day for crashes moved from Thursday, with 5 incidents in 2010, to Tuesday, with 3 incidents in 2011. The peak hour for collisions also shifted later into the evening, from 6 p.m. in the prior year (3 crashes) to 9 p.m. in the current year (4 crashes).

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

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

Crash Severity Breakdown

While the absolute number of fatal crashes remained unchanged at one in both 2010 and 2011, the fatal crash rate increased from 5% to 9.1% due to the lower overall number of crashes in 2011. The proportion of crashes resulting in an injury remained relatively stable, accounting for 55% of incidents in 2010 and 54.5% in 2011. Correspondingly, no-injury crashes represented 40% of the total in 2010 and 36.4% in 2011.

Outcome by Severity (Crash Events)

Fatal1fatal crashes9.1%
→0.0%prior 1
Injury6minor injury crashes54.5%
↓-45.5%prior 11
No Injury4no injury crashes36.4%
↓-50.0%prior 8

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

Road & Environmental Conditions

In 2011, a higher proportion of crashes occurred in adverse conditions compared to 2010. Crashes in the dark increased from 30% of all incidents in 2010 to 54.5% in 2011. The share of collisions involving freezing precipitation rose from 10% to 27.3% year-over-year. While dry roads were the most common surface condition in both periods, their share of crashes decreased from 65% in 2010 to 45.5% in 2011, as crashes on icy surfaces increased from 5% to 18.2%.

Weather

Clear8 (72.7%)
↓-11.1%prior 9
Freezing Precipitation3 (27.3%)

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

Lighting

Dark6 (54.5%)
→0.0%prior 6
Daylight5 (45.5%)
↓-64.3%prior 14

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

Road Surface

Dry5 (45.5%)
↓-61.5%prior 13
Ice2 (18.2%)
Wet2 (18.2%)
Other - Explain in Narrative1 (9.1%)
Slush1 (9.1%)

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

Data Coverage

  • Reporting period: 2011-01-01 through 2011-12-31 (365 days)
  • Geographic scope: Cavendish, VT
  • Total crash records analyzed: 11

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). "Cavendish, VT Crash Intelligence Report: 2011." Published July 5, 2026. Reporting period: 2011-01-01 to 2011-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/cavendish/2011-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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Cavendish, VT Crash Report — 2011 | ThatCarHitMe.com