Yearly Traffic Safety Analysis

553 CRASHES IN
RUTLAND CITY, VT
2019

All metrics benchmarked against2018

Rutland City experienced a substantial increase in crash activity from 2018 to 2019, with total crashes rising by 247.79% from 159 to 553. This period also saw the emergence of a fatal crash, with 1 fatality recorded in 2019 compared to none in the prior year. Overall, the data indicates a significant upward trend in crash incidents.

553

247.8%was 159

Total Crash Events

1

Fatal Crashes

56

27.3%was 44

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. 401 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a substantial increase in crash incidents year-over-year. Total crashes rose from 159 in 2018 to 553 in 2019, representing a 247.79% increase. This upward trend is also reflected in the number of fatalities, which increased from 0 to 1.

When Crashes Happen

Temporal patterns show that Friday remained the peak day for crashes in both years, with 105 crashes in 2019 compared to 27 in 2018. The peak hour for crashes shifted from 5 p.m. in 2018, which recorded 17 crashes, to 4 p.m. in 2019, with 53 crashes. All days of the week experienced increased crash counts year-over-year.

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes saw a notable shift, with the total number of fatalities increasing from 0 in 2018 to 1 in 2019, raising the fatal crash rate from 0% to 0.18%. Total injuries also rose by 27.27%, from 44 in 2018 to 56 in 2019. The proportion of crashes resulting in injury decreased from 27.7% of total crashes in 2018 to 10.1% in 2019, despite an increase in the absolute number of injury crashes.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.2%
Injury56minor injury crashes10.1%
27.3%prior 44
No Injury95no injury crashes17.2%
-17.4%prior 115

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Regarding lighting conditions, the proportion of crashes occurring in daylight increased from 75.9% in 2018 to 83.9% in 2019, while crashes in dark conditions decreased proportionally from 24.1% to 16.1%. For weather, crashes in cloudy conditions saw a proportional increase from 15.6% to 22.1% within reported weather data, whereas rain-related crashes proportionally decreased from 12.6% to 7.4%. On road surfaces, the proportion of crashes on snowy roads increased from 6.2% in 2018 to 10.2% in 2019 within reported road surface data.

Weather

Clear76 (62.3%)
-10.6%prior 85
Cloudy27 (22.1%)
28.6%prior 21
Freezing Precipitation10 (8.2%)
-16.7%prior 12
Rain9 (7.4%)
-47.1%prior 17

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Weather condition at time of crash

Lighting

Daylight463 (83.9%)
285.8%prior 120
Dark89 (16.1%)
134.2%prior 38

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Lighting condition field

Road Surface

Dry83 (64.8%)
-1.2%prior 84
Wet28 (21.9%)
-12.5%prior 32
Snow13 (10.2%)
62.5%prior 8
Ice2 (1.6%)
Other - Explain in Narrative1 (0.8%)
Slush1 (0.8%)

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · 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: 2019-01-01 through 2019-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2019-01-01 through 2019-12-31 (365 days)
  • Geographic scope: Rutland City, VT
  • Total crash records analyzed: 553

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: 2019." Published July 5, 2026. Reporting period: 2019-01-01 to 2019-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/rutland-city/2019-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 — 2019 | ThatCarHitMe.com