Monthly Traffic Safety Analysis

845 CRASHES IN
VERMONT, VT
MARCH 2026

All metrics benchmarked againstMarch 2025

In March 2026, Vermont recorded 845 traffic crashes, a 59.4% increase from the 530 crashes reported in March 2025. This substantial year-over-year rise in collisions was accompanied by a doubling of fatalities, which increased from 3 to 6. The total number of injuries also grew by 39.8%, from 123 to 172.

845

59.4%was 530

Total Crash Events

6

100.0%was 3

Fatal Crashes

172

39.8%was 123

Injury Crashes

6

100.0%was 3

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 23 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Comparing March 2026 to the same month in 2025, traffic safety metrics show a significant upward trend in incidents. Total crashes rose by 59.4% from 530 to 845. Concurrently, total injuries increased by 39.8% from 123 to 172, and the number of fatalities doubled from 3 to 6.

When Crashes Happen

The temporal distribution of crashes shifted notably year-over-year. The peak day for collisions moved from Monday (90 crashes) in March 2025 to Friday (209 crashes) in March 2026. While the peak hour remained 3 PM in both periods, the number of crashes during that hour more than doubled, increasing from 44 to 91.

Source: Vermont Crash Data · Arcgis Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The rate of fatal crashes per 100 collisions increased from 0.57 in March 2025 to 0.71 in March 2026. While the absolute number of injuries rose, the proportion of crashes resulting in an injury decreased from 23.2% to 20.4%. Conversely, the share of property-damage-only crashes with no reported injuries increased from 74.3% to 76.2% of all incidents.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.7%
100.0%prior 3
Injury172minor injury crashes20.4%
39.8%prior 123
No Injury644no injury crashes76.2%
63.5%prior 394

Source: Vermont Crash Data · Arcgis Open Data · 2026-03-01 to 2026-03-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record

Road & Environmental Conditions

While the proportion of crashes in daylight conditions remained stable, there was a significant change in reported weather and road surface conditions. The share of crashes occurring during 'Freezing Precipitation' increased from 10.4% to 18.2% of total incidents. Correspondingly, the proportion of crashes on roads with snow more than doubled from 6.8% to 14.3%, while crashes on dry roads decreased as a share of the total from 48.3% to 37.9%.

Weather

Clear318 (53.8%)
34.7%prior 236
Freezing Precipitation154 (26.1%)
180.0%prior 55
Cloudy85 (14.4%)
18.1%prior 72
Rain34 (5.8%)
126.7%prior 15

Source: Vermont Crash Data · Arcgis Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Lighting

Daylight610 (73.8%)
62.2%prior 376
Dark217 (26.2%)
45.6%prior 149

Source: Vermont Crash Data · Arcgis Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field

Road Surface

Dry320 (54.4%)
25.0%prior 256
Snow121 (20.6%)
236.1%prior 36
Wet76 (12.9%)
22.6%prior 62
Ice33 (5.6%)
57.1%prior 21
Slush30 (5.1%)
275.0%prior 8
Sand, mud, dirt, oil, gravel5 (0.9%)
Other - Explain in Narrative3 (0.5%)

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

Data Coverage

  • Reporting period: 2026-03-01 through 2026-03-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 845

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