Yearly Traffic Safety Analysis

619 CRASHES IN
RUTLAND CITY, VT
2011

All metrics benchmarked against2010

Total crashes in Rutland City decreased slightly from 628 in 2010 to 619 in 2011, a 1.43% reduction. A significant positive shift was observed in fatalities, which dropped from 1 in 2010 to 0 in 2011. This period also saw a decrease in total injuries from 90 to 78, a 13.33% decline.

619

-1.4%was 628

Total Crash Events

0

-100.0%was 1

Fatal Crashes

78

-13.3%was 90

Injury Crashes

0

-100.0%was 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 trends in Rutland City show a slight decrease year-over-year, with total crashes falling by 1.43% from 628 in 2010 to 619 in 2011. This decline was accompanied by a more significant 13.33% reduction in total injuries, from 90 to 78. Notably, fatalities decreased from 1 in 2010 to 0 in 2011.

When Crashes Happen

The peak day for crashes remained Friday in both 2010 and 2011, though the number of crashes on Fridays decreased from 129 to 116. Similarly, the peak hour for crashes remained 3 PM in both periods, with a decrease from 80 crashes in 2010 to 71 in 2011. A notable shift occurred on Saturdays, which saw an increase in crashes from 62 in 2010 to 88 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

There was a positive shift in crash severity, with fatal crashes decreasing from 1 in 2010 to 0 in 2011. Injury crashes also saw a reduction, falling from 90 in 2010 to 78 in 2011. Consequently, the proportion of injury crashes relative to total crashes decreased from 14.3% in 2010 to 12.6% in 2011.

Outcome by Severity (Crash Events)

Injury78minor injury crashes12.6%
-13.3%prior 90
No Injury541no injury crashes87.4%
1.1%prior 535

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

Crashes occurring in clear weather conditions increased from 349 in 2010 to 381 in 2011, while crashes in cloudy and rainy conditions decreased. There was a decrease in crashes occurring during dark lighting conditions, falling from 102 in 2010 to 88 in 2011. Conversely, crashes on wet road surfaces increased from 105 to 121, and crashes on icy roads increased from 1 to 7.

Weather

Clear381 (64.2%)
9.2%prior 349
Cloudy135 (22.8%)
-15.1%prior 159
Rain42 (7.1%)
-25.0%prior 56
Freezing Precipitation35 (5.9%)
-12.5%prior 40

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

Lighting

Daylight527 (85.7%)
0.6%prior 524
Dark88 (14.3%)
-13.7%prior 102

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

Road Surface

Dry420 (70.7%)
-8.3%prior 458
Wet121 (20.4%)
15.2%prior 105
Snow38 (6.4%)
2.7%prior 37
Ice7 (1.2%)
Slush6 (1.0%)
-14.3%prior 7
Other - Explain in Narrative1 (0.2%)
Water (standing / moving)1 (0.2%)

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: Rutland City, VT
  • Total crash records analyzed: 619

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). "Rutland City, 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/rutland-city/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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Rutland City, VT Crash Report — 2011 | ThatCarHitMe.com