Yearly Traffic Safety Analysis

34 CRASHES IN
WATERBURY, VT
2025

All metrics benchmarked against2024

In 2025, Waterbury experienced 34 total crashes, a significant 70% increase compared to the 20 crashes recorded in 2024. A critical change observed is the presence of 1 fatality in 2025, whereas no fatalities were reported in the prior year. This marks a notable shift in the severity outcome of crashes in the jurisdiction.

34

70.0%was 20

Total Crash Events

1

Fatal Crashes

12

9.1%was 11

Injury Crashes

1

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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in Waterbury show a significant increase year-over-year, with total crashes rising by 70% from 20 in 2024 to 34 in 2025. This increase is accompanied by a rise in fatalities, from 0 to 1, and a 9.09% increase in total injuries, from 11 to 12.

When Crashes Happen

The peak day for crashes remained Monday in both years, with 9 crashes occurring on this day in both 2024 and 2025. However, there was a shift in the peak hour for crashes, moving from 8 AM with 4 crashes in 2024 to 3 PM with 6 crashes in 2025.

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution saw a notable change, with 1 fatal crash occurring in 2025, accounting for 2.9% of all crashes, compared to zero fatal crashes in 2024. While the number of injury crashes increased slightly from 11 to 12, their proportion relative to total crashes decreased from 55% in 2024 to 35.3% in 2025. Conversely, crashes with no injuries increased from 9 to 21, rising from 45% to 61.8% of total crashes.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.9%
Injury12minor injury crashes35.3%
9.1%prior 11
No Injury21no injury crashes61.8%
133.3%prior 9

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Analysis of conditions reveals shifts in crash circumstances. Crashes under cloudy weather conditions increased by 200%, from 3 in 2024 to 9 in 2025, while crashes in clear weather remained constant at 8. Crashes occurring during daylight hours doubled from 15 to 30, and crashes on dry road surfaces increased by 66.67%, from 9 to 15.

Weather

Cloudy9 (40.9%)
Clear8 (36.4%)
0.0%prior 8
Freezing Precipitation3 (13.6%)
Rain2 (9.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight30 (88.2%)
100.0%prior 15
Dark4 (11.8%)
-20.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry15 (62.5%)
66.7%prior 9
Wet6 (25.0%)
Snow2 (8.3%)
Ice1 (4.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Waterbury, VT
  • Total crash records analyzed: 34

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). "Waterbury, VT Crash Intelligence Report: 2025." Published July 5, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/waterbury/2025-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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Waterbury, VT Crash Report — 2025 | ThatCarHitMe.com