Yearly Traffic Safety Analysis

448 CRASHES IN
WILLISTON, VT
2019

All metrics benchmarked against2018

In 2019, Williston recorded 448 crashes, a substantial 50.84% increase compared to the 297 crashes reported in 2018. This period saw a notable rise in motorcycle crashes, which increased by 166.67% from 3 to 8. Additionally, crashes involving driving under the influence rose by 75%, from 8 incidents in 2018 to 14 in 2019.

448

50.8%was 297

Total Crash Events

0

-100.0%was 1

Fatal Crashes

52

48.6%was 35

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. 81 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

Overall, crash data in Williston indicates a significant upward trend in total incidents, with a 50.84% increase in crashes from 297 in 2018 to 448 in 2019. Concurrently, total injuries rose by 48.57%, from 35 to 52. Fatalities, however, decreased from one recorded in 2018 to zero in 2019.

When Crashes Happen

The temporal distribution of crashes shows consistent patterns year-over-year, with Friday remaining the peak day and 4 PM the peak hour for both periods. Crashes on Fridays increased from 61 in 2018 to 78 in 2019, a 27.87% rise. Similarly, incidents during the 4 PM peak hour saw a 51.43% increase, from 35 crashes in 2018 to 53 in 2019.

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 profile indicates a decrease in fatal crashes, from one in 2018 to zero in 2019. While the absolute number of injury crashes increased from 35 to 52, their proportion of total crashes remained stable at 11.6% in 2019 compared to 11.8% in 2018. Crashes resulting in no injuries increased in count from 255 to 315, though their proportion of total crashes decreased from 85.9% to 70.3%.

Outcome by Severity (Crash Events)

Injury52minor injury crashes11.6%
48.6%prior 35
No Injury315no injury crashes70.3%
23.5%prior 255

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

Analysis of conditions reveals shifts in crash circumstances between the two periods. Crashes occurring in daylight increased proportionally from 80.8% in 2018 to 87.3% in 2019, while those in dark conditions decreased from 19.2% to 12.7%. Regarding weather, crashes during freezing precipitation increased slightly as a proportion of known weather incidents, from 8.3% to 10.8%. On road surfaces, dry conditions saw a slight proportional decrease in crashes (71.3% to 68.6%), while wet, snow, and ice conditions experienced minor proportional increases.

Weather

Clear173 (53.2%)
22.7%prior 141
Cloudy91 (28.0%)
16.7%prior 78
Freezing Precipitation35 (10.8%)
59.1%prior 22
Rain26 (8.0%)
18.2%prior 22

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

Lighting

Daylight386 (87.3%)
60.8%prior 240
Dark56 (12.7%)
-1.8%prior 57

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

Road Surface

Dry223 (68.6%)
16.8%prior 191
Wet55 (16.9%)
31.0%prior 42
Snow27 (8.3%)
28.6%prior 21
Ice13 (4.0%)
62.5%prior 8
Slush6 (1.8%)
Other - Explain in Narrative1 (0.3%)

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: Williston, VT
  • Total crash records analyzed: 448

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). "Williston, 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/williston/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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Williston, VT Crash Report — 2019 | ThatCarHitMe.com