Monthly Traffic Safety Analysis

530 CRASHES IN
VERMONT, VT
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, there were 530 total traffic crashes, a slight increase of 0.4% from the 528 crashes recorded in March 2024. While the overall crash volume remained stable, the number of fatalities decreased by 50%, falling from 6 in the prior period to 3 in the current period. Crashes involving pedestrians also saw a notable decline from 14 to 8 year-over-year.

530

0.4%was 528

Total Crash Events

3

-50.0%was 6

Fatal Crashes

123

0.8%was 122

Injury Crashes

3

-50.0%was 6

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 10 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash volume remained nearly stable year-over-year, with a minor 0.4% increase from 528 crashes in March 2024 to 530 in March 2025. The number of injuries also saw a minimal change, rising from 122 to 123. However, fatalities saw a significant downward trend, decreasing by 50% from 6 to 3 over the same period.

When Crashes Happen

The temporal patterns of crashes showed some shifts between the two periods. The peak day for crashes moved from Friday (88 crashes) in March 2024 to Monday (90 crashes) in March 2025. Similarly, the peak hour for collisions shifted an hour earlier, from 4 p.m. in the prior year (53 crashes) to 3 p.m. in the current year (44 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity decreased in March 2025 compared to the previous year. The number of fatal crashes was halved, from 6 in March 2024 to 3 in March 2025, with the fatal crash rate dropping from 1.14 to 0.57 per 100 crashes. The proportion of crashes resulting in injury remained nearly identical at 23.2% in the current period compared to 23.1% in the prior period. The share of non-injury crashes also held steady at approximately 74% for both months.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.6%
-50.0%prior 6
Injury123minor injury crashes23.2%
0.8%prior 122
No Injury394no injury crashes74.3%
0.0%prior 394

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Road & Environmental Conditions

Comparing environmental conditions, March 2025 saw a higher proportion of crashes occurring after dark (28.1%) compared to March 2024 (25.6%). Crashes during adverse weather conditions decreased, with incidents in rain falling from 37 to 15 and those in freezing precipitation dropping from 74 to 55. This corresponded with a decrease in crashes on snowy roads from 71 to 36, though crashes on icy roads increased from 11 to 21 year-over-year.

Weather

Clear236 (61.8%)
5.8%prior 223
Cloudy72 (18.8%)
20.0%prior 60
Freezing Precipitation55 (14.4%)
-25.7%prior 74
Rain15 (3.9%)
-59.5%prior 37
Wind4 (1.0%)

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight376 (71.6%)
-1.1%prior 380
Dark149 (28.4%)
10.4%prior 135

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry256 (65.6%)
8.5%prior 236
Wet62 (15.9%)
-7.5%prior 67
Snow36 (9.2%)
-49.3%prior 71
Ice21 (5.4%)
90.9%prior 11
Slush8 (2.1%)
0.0%prior 8
Water (standing / moving)3 (0.8%)
Sand, mud, dirt, oil, gravel2 (0.5%)
Other - Explain in Narrative2 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 530

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: March 2025." Published July 5, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/march-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

ThatCarHitMe.com · An Injuria.ai Company

Vermont (Statewide) Crash Report — March 2025 | ThatCarHitMe.com