Yearly Traffic Safety Analysis

24 CRASHES IN
CLARENDON, VT
2011

All metrics benchmarked against2010

In 2011, Clarendon experienced a decrease in total crashes compared to 2010, with 24 crashes reported, down from 35 crashes. This represents a significant 31.4% reduction in overall crash incidents year-over-year. The most notable shift was a 60% decrease in total injuries, falling from 15 in 2010 to 6 in 2011.

24

-31.4%was 35

Total Crash Events

1

Fatal Crashes

6

-60.0%was 15

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

Overall, crash data for Clarendon shows a declining trend in 2011 compared to 2010. Total crashes decreased by 31.4%, from 35 incidents in 2010 to 24 in 2011. This reduction was also reflected in a 60% decrease in total injuries, which fell from 15 to 6 year-over-year.

When Crashes Happen

The temporal patterns of crashes shifted between 2010 and 2011. The peak day for crashes changed from Thursday, which had 8 incidents in 2010, to Friday, with 5 incidents in 2011. Similarly, the peak crash hour moved from 2 PM with 5 crashes in 2010 to 10 PM with 2 crashes in 2011.

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 number of fatal crashes remained stable at 1 in both 2010 and 2011, the fatal crash rate increased from 2.86% to 4.17% due to the overall decrease in total crashes. Injury crashes saw a significant reduction, with the count decreasing from 15 in 2010 to 6 in 2011, and their proportion of total crashes falling from 42.9% to 25%. Conversely, the proportion of crashes resulting in no injuries increased from 54.3% to 70.8%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes4.2%
0.0%prior 1
Injury6minor injury crashes25%
-60.0%prior 15
No Injury17no injury crashes70.8%
-10.5%prior 19

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

There were notable shifts in crash conditions year-over-year. Crashes occurring during freezing precipitation decreased significantly from 9 in 2010 to 2 in 2011, and crashes on snowy or wet road surfaces also saw reductions, falling from 7 to 3 for both categories. While daylight crashes decreased from 25 to 13, crashes occurring in dark conditions slightly increased from 10 to 11, resulting in a higher proportion of dark crashes, from 28.6% to 45.8%.

Weather

Clear13 (59.1%)
-13.3%prior 15
Cloudy5 (22.7%)
-44.4%prior 9
Freezing Precipitation2 (9.1%)
-77.8%prior 9
Rain2 (9.1%)

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

Lighting

Daylight13 (54.2%)
-48.0%prior 25
Dark11 (45.8%)
10.0%prior 10

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

Road Surface

Dry16 (66.7%)
-20.0%prior 20
Snow3 (12.5%)
-57.1%prior 7
Wet3 (12.5%)
-57.1%prior 7
Slush2 (8.3%)

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: Clarendon, VT
  • Total crash records analyzed: 24

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). "Clarendon, 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/clarendon/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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Clarendon, VT Crash Report — 2011 | ThatCarHitMe.com