Yearly Traffic Safety Analysis

16 CRASHES IN
VERNON, VT
2018

All metrics benchmarked against2017

In Vernon, total traffic crashes decreased significantly from 36 in 2017 to 16 in 2018, a 55.6% reduction. This positive trend was highlighted by the elimination of fatal crashes, which dropped from one in the prior period to zero in the current period. Correspondingly, the number of people injured in crashes was halved, falling from 10 to 5.

16

-55.6%was 36

Total Crash Events

0

-100.0%was 1

Fatal Crashes

5

-50.0%was 10

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic safety in Vernon showed significant improvement year-over-year, with total crashes falling by more than half from 36 to 16. This downward trend was consistent across key metrics, as total injuries were reduced by 50% from 10 to 5. Most notably, fatalities were eliminated, dropping from one in 2017 to zero in 2018.

When Crashes Happen

The timing of crashes shifted between the two periods. The peak day for collisions moved from Tuesday in 2017 (7 crashes) to Friday in 2018 (4 crashes). Similarly, the most common time for a crash moved from the 7 a.m. morning commute hour in the prior period to the afternoon and evening hours of 2 p.m. and 5 p.m. 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

Crash severity improved, with fatal crashes decreasing from one in 2017 to zero in 2018. While the absolute number of injuries fell by 50%, the proportion of crashes resulting in an injury increased slightly from 27.8% to 31.3% of all incidents. The share of crashes with no reported injuries grew from 41.7% in the prior period to 62.5% in the current period.

Outcome by Severity (Crash Events)

Injury5minor injury crashes31.3%
-50.0%prior 10
No Injury10no injury crashes62.5%
-33.3%prior 15

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

Crashes during adverse road conditions saw a substantial year-over-year decrease. Collisions on snowy or icy roads dropped from a total of 8 incidents in 2017 to just 2 in 2018. The proportion of crashes occurring in daylight remained largely stable, accounting for 75% of crashes in 2018 versus 69.4% in 2017. Crashes on dry road surfaces represented a similar share of the total in both periods.

Weather

Clear7 (58.3%)
-46.2%prior 13
Rain3 (25.0%)
Freezing Precipitation2 (16.7%)
-71.4%prior 7

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

Lighting

Daylight12 (75.0%)
-52.0%prior 25
Dark4 (25.0%)
-63.6%prior 11

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

Road Surface

Dry7 (53.8%)
-41.7%prior 12
Wet4 (30.8%)
Ice1 (7.7%)
Snow1 (7.7%)
-83.3%prior 6

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 6, 2026

Data Coverage

  • Reporting period: 2018-01-01 through 2018-12-31 (365 days)
  • Geographic scope: Vernon, VT
  • Total crash records analyzed: 16

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). "Vernon, VT Crash Intelligence Report: 2018." Published July 6, 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/vernon/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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Vernon, VT Crash Report — 2018 | ThatCarHitMe.com