Yearly Traffic Safety Analysis

129 CRASHES IN
RUTLAND CITY, VT
2017

All metrics benchmarked against2016

Total crashes in Rutland City decreased by 25.0%, from 172 crashes in 2016 to 129 crashes in 2017. This period also saw a notable decrease in DUI-related crashes, dropping from 16 to 7.

129

-25.0%was 172

Total Crash Events

0

Fatal Crashes

48

-15.8%was 57

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 · 2017-01-01 to 2017-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, Rutland City experienced a significant decline in total crashes year-over-year, with a 25.0% reduction from 172 crashes in 2016 to 129 crashes in 2017. This indicates a downward trend in crash incidents for the period.

When Crashes Happen

The temporal distribution of crashes shifted, with the peak day moving from Monday in 2016 (34 crashes) to Friday in 2017 (35 crashes). While 11 AM remained the peak hour for both years, the number of crashes during this hour decreased from 19 in 2016 to 16 in 2017. Additionally, crashes on Mondays saw a substantial decrease of 55.9%, from 34 to 15.

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero for both 2016 and 2017. Total injuries decreased by 15.8%, from 57 in 2016 to 48 in 2017. However, the proportion of crashes resulting in injuries increased from 33.1% of total crashes in 2016 to 37.2% in 2017.

Outcome by Severity (Crash Events)

Injury48minor injury crashes37.2%
-15.8%prior 57
No Injury81no injury crashes62.8%
-29.6%prior 115

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The proportion of crashes occurring in Clear weather decreased from 68.6% in 2016 to 56.6% in 2017, while crashes in Cloudy conditions increased from 12.2% to 21.7%. Crashes during Dark lighting conditions decreased from 22.7% to 12.4% year-over-year. The proportion of crashes on Dry road surfaces remained largely stable, at 72.1% in 2016 and 72.9% in 2017.

Weather

Clear73 (60.3%)
-38.1%prior 118
Cloudy28 (23.1%)
33.3%prior 21
Rain11 (9.1%)
-21.4%prior 14
Freezing Precipitation9 (7.4%)
-40.0%prior 15

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Weather condition at time of crash

Lighting

Daylight113 (87.6%)
-14.4%prior 132
Dark16 (12.4%)
-59.0%prior 39

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Lighting condition field

Road Surface

Dry94 (76.4%)
-24.2%prior 124
Wet19 (15.4%)
-26.9%prior 26
Snow9 (7.3%)
-18.2%prior 11
Slush1 (0.8%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · 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: 2017-01-01 through 2017-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2017-01-01 through 2017-12-31 (365 days)
  • Geographic scope: Rutland City, VT
  • Total crash records analyzed: 129

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: 2017." Published July 5, 2026. Reporting period: 2017-01-01 to 2017-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/rutland-city/2017-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 — 2017 | ThatCarHitMe.com