Yearly Traffic Safety Analysis

28 CRASHES IN
RUTLAND TOWN, VT
2012

All metrics benchmarked against2011

Total crashes in Rutland Town decreased by 50% from 56 in 2011 to 28 in 2012. Despite this overall reduction in crash frequency, total fatalities increased from 0 in 2011 to 1 in 2012. Total injuries also saw a decrease, falling from 12 to 10 year-over-year.

28

▼ -50.0%was 56

Total Crash Events

1

Fatal Crashes

10

▼ -16.7%was 12

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, crash frequency in Rutland Town showed a significant downward trend, with total crashes decreasing by 50% from 56 in 2011 to 28 in 2012. Similarly, total injuries decreased by 16.67%, from 12 in 2011 to 10 in 2012. However, total fatalities increased from 0 in 2011 to 1 in 2012, indicating a more severe outcome in the current period.

When Crashes Happen

The peak day for crashes shifted from Tuesday, with 14 crashes in 2011, to Saturday, Sunday, and Wednesday, each recording 6 crashes in 2012. The peak crash hour also changed, moving from 12p with 8 crashes in 2011 to 1p with 5 crashes in 2012. These shifts suggest a change in the timing of peak crash occurrences year-over-year.

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

Fatal crashes increased from 0 in 2011 to 1 in 2012, resulting in a fatal crash rate of 3.6% in 2012 compared to 0% in the prior year. While the absolute number of injury crashes decreased from 12 to 10, their proportion of total crashes rose from 21.4% in 2011 to 35.7% in 2012. Conversely, the proportion of no-injury crashes decreased from 78.6% in 2011 to 60.7% in 2012.

Outcome by Severity (Crash Events)

Fatal1fatal crashes3.6%
Injury10minor injury crashes35.7%
↓-16.7%prior 12
No Injury17no injury crashes60.7%
↓-61.4%prior 44

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

The proportion of crashes occurring in clear weather decreased from 62.5% in 2011 to 57.1% in 2012, while crashes in freezing precipitation slightly increased from 16.1% to 17.9%. Crashes occurring in dark conditions increased proportionally from 17.9% in 2011 to 21.4% in 2012. There was a notable decrease in the proportion of crashes on wet road surfaces, from 19.6% in 2011 to 10.7% in 2012, and on snowy surfaces, from 16.1% to 7.1%.

Weather

Clear16 (57.1%)
↓-54.3%prior 35
Cloudy5 (17.9%)
↓-28.6%prior 7
Freezing Precipitation5 (17.9%)
↓-44.4%prior 9
Rain2 (7.1%)

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

Lighting

Daylight22 (78.6%)
↓-52.2%prior 46
Dark6 (21.4%)
↓-40.0%prior 10

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

Road Surface

Dry19 (67.9%)
↓-47.2%prior 36
Wet3 (10.7%)
↓-72.7%prior 11
Slush2 (7.1%)
Snow2 (7.1%)
↓-77.8%prior 9
Ice1 (3.6%)
Sand, mud, dirt, oil, gravel1 (3.6%)

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: Rutland Town, VT
  • Total crash records analyzed: 28

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 Town, 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/rutland-town/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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Rutland Town, VT Crash Report — 2012 | ThatCarHitMe.com