Monthly Traffic Safety Analysis

528 CRASHES IN
VERMONT, VT
MARCH 2024

All metrics benchmarked againstMarch 2023

In March 2024, Vermont recorded 528 traffic crashes, a 17.9% decrease from the 643 crashes reported in March 2023. Despite the overall decline in collisions, the number of fatalities doubled, increasing from 3 in the prior year to 6 in the current period. This increase in fatalities occurred alongside a slight rise in total injuries, from 117 to 122.

528

▼ -17.9%was 643

Total Crash Events

6

▲ 100.0%was 3

Fatal Crashes

122

▲ 4.3%was 117

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. 6 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash totals in Vermont saw a significant year-over-year decrease, falling by 17.9% from 643 in March 2023 to 528 in March 2024. However, the severity of these crashes increased. While total collisions declined, the number of resulting injuries rose from 117 to 122, and fatalities doubled from 3 to 6.

When Crashes Happen

The temporal pattern of crashes shifted between the two periods. The peak day for collisions moved from Wednesday (114 crashes) in March 2023 to Friday (88 crashes) in March 2024. The peak hour for crashes remained consistent at 4 p.m. for both years, with 53 crashes in 2024 compared to 58 in 2023.

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Although total crashes decreased, their severity increased year-over-year. The fatal crash rate more than doubled, rising from 0.47 per 100 crashes in March 2023 to 1.14 in March 2024, with fatal crashes increasing from 3 to 6. The proportion of collisions resulting in an injury also grew, accounting for 23.1% of all crashes in the current period compared to 18.2% in the prior year.

Outcome by Severity (Crash Events)

Fatal6fatal crashes1.1%
↑100.0%prior 3
Injury122minor injury crashes23.1%
↑4.3%prior 117
No Injury394no injury crashes74.6%
↓-23.5%prior 515

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Road & Environmental Conditions

In March 2024, a higher percentage of crashes occurred in clear weather (42.2%) compared to March 2023 (35.8%). Conversely, the share of crashes during freezing precipitation decreased from 20.7% to 14.0%. This corresponds with road surface data, which shows a decrease in the proportion of crashes on snow-covered roads (from 15.6% to 13.4%) and icy roads (from 5.0% to 2.1%). The proportion of crashes occurring in daylight versus darkness remained nearly identical across both periods.

Weather

Clear223 (56.3%)
↓-3.0%prior 230
Freezing Precipitation74 (18.7%)
↓-44.4%prior 133
Cloudy60 (15.2%)
↓-46.9%prior 113
Rain37 (9.3%)
↑146.7%prior 15
Wind2 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash

Lighting

Daylight380 (73.8%)
↓-19.1%prior 470
Dark135 (26.2%)
↓-17.7%prior 164

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field

Road Surface

Dry236 (59.0%)
↓-14.8%prior 277
Snow71 (17.8%)
↓-29.0%prior 100
Wet67 (16.8%)
→0.0%prior 67
Ice11 (2.8%)
↓-65.6%prior 32
Slush8 (2.0%)
↓-57.9%prior 19
Sand, mud, dirt, oil, gravel3 (0.8%)
Water (standing / moving)2 (0.5%)
Other - Explain in Narrative2 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 528

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 2024." Published July 5, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/march-2024-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 2024 | ThatCarHitMe.com