Yearly Traffic Safety Analysis

159 CRASHES IN
RUTLAND CITY, VT
2018

All metrics benchmarked against2017

Rutland City experienced a notable increase in total crashes, rising from 129 in the prior year to 159 in the current year, marking a 23.26% increase. This overall rise in crash incidents is the most significant year-over-year shift observed. Despite the increase in total crashes, fatalities remained at zero in both periods.

159

23.3%was 129

Total Crash Events

0

Fatal Crashes

44

-8.3%was 48

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 · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash incidents in Rutland City increased by 23.26% year-over-year, rising from 129 crashes in the prior period to 159 crashes in the current period. While total crashes increased, the number of injuries decreased by 8.33%, from 48 to 44. Fatalities remained unchanged at zero in both periods.

When Crashes Happen

The temporal distribution of crashes shifted significantly year-over-year. While Friday remained a day with high crash counts, its total decreased from 35 in the prior period to 27 in the current period, with Thursday also reaching 27 crashes in the current period. The peak crash hour shifted from 11a with 16 crashes in the prior period to 5p with 17 crashes in the current period.

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either the current or prior periods. The proportion of crashes resulting in injuries decreased from 37.2% (48 injuries) in the prior period to 27.7% (44 injuries) in the current period. Conversely, crashes with no reported injuries increased from 62.8% to 72.3% of all crashes.

Outcome by Severity (Crash Events)

Injury44minor injury crashes27.7%
-8.3%prior 48
No Injury115no injury crashes72.3%
42.0%prior 81

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Most severe injury per crash record

Road & Environmental Conditions

A notable shift occurred in lighting conditions, with crashes occurring in 'Dark' conditions increasing by 137.5%, from 16 in the prior period to 38 in the current period. Crashes on 'Wet' road surfaces also increased significantly, rising from 19 in the prior period to 32 in the current period. While crashes in 'Clear' weather increased from 73 to 85, crashes in 'Cloudy' weather decreased from 28 to 21.

Weather

Clear85 (63.0%)
16.4%prior 73
Cloudy21 (15.6%)
-25.0%prior 28
Rain17 (12.6%)
54.5%prior 11
Freezing Precipitation12 (8.9%)
33.3%prior 9

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Weather condition at time of crash

Lighting

Daylight120 (75.9%)
6.2%prior 113
Dark38 (24.1%)
137.5%prior 16

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Lighting condition field

Road Surface

Dry84 (65.1%)
-10.6%prior 94
Wet32 (24.8%)
68.4%prior 19
Snow8 (6.2%)
-11.1%prior 9
Ice3 (2.3%)
Other - Explain in Narrative1 (0.8%)
Slush1 (0.8%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · 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: 2018-01-01 through 2018-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2018-01-01 through 2018-12-31 (365 days)
  • Geographic scope: Rutland City, VT
  • Total crash records analyzed: 159

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: 2018." Published July 5, 2026. Reporting period: 2018-01-01 to 2018-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/rutland-city/2018-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 — 2018 | ThatCarHitMe.com