Monthly Traffic Safety Analysis

765 CRASHES IN
VERMONT, VT
JANUARY 2025

All metrics benchmarked againstJanuary 2024

In January 2025, there were 765 total crashes, an increase of 12% from the 683 crashes recorded in January 2024. The most significant year-over-year change was in crash fatalities, which rose from 2 to 8. The number of injuries also increased from 134 to 150 during the same period.

765

12.0%was 683

Total Crash Events

8

300.0%was 2

Fatal Crashes

150

11.9%was 134

Injury Crashes

8

300.0%was 2

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 8 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data from January 2025 indicates a rising trend compared to the same month in the previous year. Total collisions increased by 12%, from 683 to 765. This upward trend was also reflected in crash outcomes, with total injuries rising by 11.9% and fatalities increasing from 2 to 8.

When Crashes Happen

Temporal patterns shifted between January 2024 and January 2025. The peak day for crashes moved from Tuesday (126 crashes) in the prior period to Thursday (129 crashes) in the current period. The busiest hour for collisions also shifted slightly earlier, from 5 p.m. (63 crashes) to 4 p.m. (67 crashes). Notably, crashes during the morning commute hours from 7 a.m. to 9 a.m. increased from 111 to 156 year-over-year.

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

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

Crash Severity Breakdown

While the proportion of crashes resulting in an injury remained stable at 19.6% year-over-year, the severity of collisions increased significantly. The number of fatal crashes rose from 2 in January 2024 to 8 in January 2025, causing the fatal crash rate to increase from 0.29% to 1.05%. Consequently, total fatalities increased from 2 to 8 over the same period.

Outcome by Severity (Crash Events)

Fatal8fatal crashes1%
300.0%prior 2
Injury150minor injury crashes19.6%
11.9%prior 134
No Injury599no injury crashes78.3%
11.5%prior 537

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

Road & Environmental Conditions

The distribution of crashes by lighting conditions remained nearly identical year-over-year, with roughly 73% of crashes in both periods occurring in daylight. However, there were shifts in reported weather and road surface conditions. The share of crashes in 'Clear' weather increased from 30.6% to 36.0% of all incidents. Collisions on snowy road surfaces also saw a notable increase, accounting for 29.3% of all crashes in January 2025 compared to 23.0% in the prior year.

Weather

Clear275 (45.8%)
31.6%prior 209
Freezing Precipitation192 (32.0%)
2.1%prior 188
Cloudy123 (20.5%)
-6.1%prior 131
Wind5 (0.8%)
Rain5 (0.8%)
-68.8%prior 16

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

Lighting

Daylight560 (73.8%)
12.9%prior 496
Dark199 (26.2%)
9.3%prior 182

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

Road Surface

Dry248 (41.8%)
15.3%prior 215
Snow224 (37.8%)
42.7%prior 157
Wet70 (11.8%)
-35.8%prior 109
Slush22 (3.7%)
10.0%prior 20
Ice21 (3.5%)
-56.3%prior 48
Other - Explain in Narrative7 (1.2%)
40.0%prior 5
Sand, mud, dirt, oil, gravel1 (0.2%)

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

Data Coverage

  • Reporting period: 2025-01-01 through 2025-01-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 765

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