Yearly Traffic Safety Analysis

270 CRASHES IN
WILLISTON, VT
2023

All metrics benchmarked against2022

Williston experienced a decrease in overall traffic incidents, with total crashes falling by 12.05% from 307 in 2022 to 270 in 2023. Total injuries also decreased by 19.51% over the same period, from 41 to 33. The most significant year-over-year shift was a 75% reduction in motorcycle crashes, decreasing from 4 in 2022 to 1 in 2023.

270

-12.1%was 307

Total Crash Events

0

Fatal Crashes

33

-19.5%was 41

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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decline in traffic safety incidents in Williston, with total crashes decreasing by 12.05% from 307 in 2022 to 270 in 2023. Similarly, total injuries saw a notable reduction of 19.51%, from 41 in 2022 to 33 in 2023. Fatalities remained at zero for both periods, indicating no change in this critical metric.

When Crashes Happen

The temporal patterns of crashes shifted between 2022 and 2023. While the peak crash hour remained 4 p.m., the number of crashes at this hour decreased from 34 in 2022 to 28 in 2023. The peak day for crashes shifted from Tuesday in 2022, which saw 53 crashes, to Friday in 2023, which recorded 46 crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The distribution of crash severity showed a slight shift in 2023 compared to 2022. The proportion of crashes resulting in injury decreased from 13.4% (41 crashes) in 2022 to 12.2% (33 crashes) in 2023. Conversely, crashes with no reported injuries increased as a proportion, from 84.4% in 2022 to 87.8% in 2023.

Outcome by Severity (Crash Events)

Injury33minor injury crashes12.2%
-19.5%prior 41
No Injury237no injury crashes87.8%
-8.5%prior 259

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring under adverse weather conditions, specifically freezing precipitation or rain, increased proportionally from 11.73% of all crashes in 2022 to 14.07% in 2023. Similarly, the proportion of crashes on adverse road surfaces (wet, snow, slush, or ice) rose from 17.59% in 2022 to 20.37% in 2023. The proportion of crashes occurring in daylight increased from 85.0% in 2022 to 87.8% in 2023, while those in dark conditions decreased from 15.0% to 12.2%.

Weather

Clear106 (49.3%)
-32.1%prior 156
Cloudy71 (33.0%)
-16.5%prior 85
Freezing Precipitation19 (8.8%)
-5.0%prior 20
Rain19 (8.8%)
18.8%prior 16

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight237 (87.8%)
-9.2%prior 261
Dark33 (12.2%)
-28.3%prior 46

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry158 (73.8%)
-30.1%prior 226
Wet34 (15.9%)
6.3%prior 32
Snow15 (7.0%)
0.0%prior 15
Slush4 (1.9%)
-20.0%prior 5
Ice2 (0.9%)
Water (standing / moving)1 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Williston, VT
  • Total crash records analyzed: 270

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: 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/williston/2023-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 — 2023 | ThatCarHitMe.com