Yearly Traffic Safety Analysis

397 CRASHES IN
RUTLAND CITY, VT
2020

All metrics benchmarked against2019

Overall, Rutland City experienced a significant decrease in total crashes, falling from 553 in 2019 to 397 in 2020, representing a 28.2% reduction. The most notable shift was an 81.25% decrease in DUI crashes, dropping from 16 in 2019 to 3 in 2020.

397

-28.2%was 553

Total Crash Events

0

-100.0%was 1

Fatal Crashes

51

-8.9%was 56

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

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in crash incidents year-over-year. Total crashes fell from 553 in 2019 to 397 in 2020, which is a reduction of 156 crashes or 28.2%.

When Crashes Happen

The peak day for crashes remained Friday in both 2019 (105 crashes) and 2020 (80 crashes), although the absolute number decreased. The peak crash hour shifted from 4 PM in 2019 (53 crashes) to 2 PM in 2020 (43 crashes). While most months saw fewer crashes in 2020 compared to 2019, December 2020 recorded 49 crashes, a substantial increase from the 16 crashes in December 2019.

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities decreased from 1 in 2019 to 0 in 2020. The total number of injuries also decreased from 56 in 2019 to 51 in 2020, an 8.9% reduction. Despite the decrease in absolute injury counts, the proportion of injury crashes relative to total crashes increased from 10.1% in 2019 to 12.8% in 2020.

Outcome by Severity (Crash Events)

Injury51minor injury crashes12.8%
-8.9%prior 56
No Injury65no injury crashes16.4%
-31.6%prior 95

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Most severe injury per crash record

Road & Environmental Conditions

In 2020, fewer crashes occurred under Clear, Cloudy, Freezing Precipitation, and Rain conditions compared to 2019. The proportion of crashes occurring in clear weather increased from 13.7% in 2019 to 17.1% in 2020, while the proportion of crashes in dark lighting conditions slightly increased from 16.1% to 17.4%. Crashes on dry road surfaces decreased in absolute numbers, but their proportion rose from 15.0% in 2019 to 19.6% in 2020, while the proportion on wet roads decreased from 5.1% to 3.8%.

Weather

Clear68 (68.0%)
-10.5%prior 76
Cloudy18 (18.0%)
-33.3%prior 27
Freezing Precipitation8 (8.0%)
-20.0%prior 10
Rain6 (6.0%)
-33.3%prior 9

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Weather condition at time of crash

Lighting

Daylight327 (82.6%)
-29.4%prior 463
Dark69 (17.4%)
-22.5%prior 89

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Lighting condition field

Road Surface

Dry78 (76.5%)
-6.0%prior 83
Wet15 (14.7%)
-46.4%prior 28
Snow7 (6.9%)
-46.2%prior 13
Slush1 (1.0%)
Other - Explain in Narrative1 (1.0%)

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · 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: 2020-01-01 through 2020-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2020-01-01 through 2020-12-31 (366 days)
  • Geographic scope: Rutland City, VT
  • Total crash records analyzed: 397

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: 2020." Published July 5, 2026. Reporting period: 2020-01-01 to 2020-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/rutland-city/2020-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 — 2020 | ThatCarHitMe.com