Yearly Traffic Safety Analysis

284 CRASHES IN
WILLISTON, VT
2020

All metrics benchmarked against2019

In 2020, Williston experienced 284 crashes, a significant decrease from the 448 crashes recorded in 2019. This represents a 36.6% reduction in total crashes year-over-year. The most notable shift was a 100% reduction in motorcycle crashes, falling from 8 in 2019 to 0 in 2020.

284

-36.6%was 448

Total Crash Events

0

Fatal Crashes

31

-40.4%was 52

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. 36 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

Overall, crashes in Williston decreased significantly year-over-year, with total crashes dropping by 36.6% from 448 in 2019 to 284 in 2020. Total injuries also saw a substantial reduction of 40.4%, decreasing from 52 in 2019 to 31 in 2020. The number of fatalities remained at 0 for both years.

When Crashes Happen

Temporal patterns shifted year-over-year, with the peak day for crashes moving from Friday in 2019 (78 crashes) to Thursday in 2020 (53 crashes). The peak crash hour also changed from 4 p.m. in 2019 (53 crashes) to 1 p.m. in 2020 (39 crashes). All days of the week and most hours experienced fewer crashes in 2020 compared to 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

There were no fatal crashes in either 2019 or 2020. Injury crashes decreased from 52 in 2019 to 31 in 2020, representing a 40.4% reduction in injuries. The proportion of crashes resulting in injury also saw a slight decrease, from 11.6% of all crashes in 2019 to 10.9% in 2020.

Outcome by Severity (Crash Events)

Injury31minor injury crashes10.9%
-40.4%prior 52
No Injury217no injury crashes76.4%
-31.1%prior 315

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

Despite an overall reduction in crashes, the proportion of crashes occurring under favorable conditions increased. Crashes in clear weather accounted for 50% of all crashes in 2020 (142 crashes), up from 38.6% in 2019 (173 crashes). Similarly, crashes on dry road surfaces increased proportionally, representing 58.5% of crashes in 2020 (166 crashes) compared to 49.8% in 2019 (223 crashes).

Weather

Clear142 (61.5%)
-17.9%prior 173
Cloudy49 (21.2%)
-46.2%prior 91
Freezing Precipitation24 (10.4%)
-31.4%prior 35
Rain16 (6.9%)
-38.5%prior 26

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

Lighting

Daylight237 (83.5%)
-38.6%prior 386
Dark47 (16.5%)
-16.1%prior 56

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

Road Surface

Dry166 (71.9%)
-25.6%prior 223
Wet43 (18.6%)
-21.8%prior 55
Snow15 (6.5%)
-44.4%prior 27
Other - Explain in Narrative3 (1.3%)
Slush2 (0.9%)
-66.7%prior 6
Ice2 (0.9%)
-84.6%prior 13

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: Williston, VT
  • Total crash records analyzed: 284

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: 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/williston/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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Williston, VT Crash Report — 2020 | ThatCarHitMe.com