Monthly Traffic Safety Analysis

614 CRASHES IN
VERMONT, VT
OCTOBER 2024

All metrics benchmarked againstOctober 2023

In October 2024, Vermont recorded 614 traffic crashes, a 3.6% decrease from the 637 incidents reported in October 2023. While total crashes declined, the most notable year-over-year shift occurred in crash outcomes. The number of fatalities fell from 9 to 5, while the total number of injuries increased from 164 to 178.

614

-3.6%was 637

Total Crash Events

5

-44.4%was 9

Fatal Crashes

178

8.5%was 164

Injury Crashes

5

-44.4%was 9

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 5 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic crashes showed a slight decline in October 2024 compared to the same month in the previous year, falling by 3.6% from 637 to 614 incidents. This downward trend was also reflected in fatalities, which decreased from 9 to 5. However, the number of persons injured increased by 8.5% year-over-year, rising from 164 to 178.

When Crashes Happen

The temporal patterns of crashes remained broadly consistent year-over-year. The peak hour for collisions was the 4 p.m. hour in both October 2024 (61 crashes) and October 2023 (63 crashes). The day with the most crashes shifted from Tuesday (115 crashes) in the prior year to Wednesday (115 crashes) in the current year, though the peak volume was identical. In both periods, the afternoon hours from 3 p.m. to 5 p.m. accounted for the highest concentration of crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity outcomes shifted between the two periods. The number of fatal crashes decreased from 9 in October 2023 to 5 in October 2024, lowering the fatal crash rate from 1.4% to 0.8% of all incidents. Conversely, the proportion of crashes resulting in an injury increased, accounting for 29.0% of all crashes in the current period (178 crashes), up from 25.7% in the prior year (164 crashes).

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.8%
-44.4%prior 9
Injury178minor injury crashes29%
8.5%prior 164
No Injury426no injury crashes69.4%
-6.4%prior 455

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record

Road & Environmental Conditions

Environmental conditions during crashes were more favorable in October 2024 compared to the previous year. The proportion of crashes occurring in clear weather increased from 45.2% to 59.3%, while collisions in the rain decreased from 81 to 30. Similarly, a higher percentage of crashes happened on dry roads in the current period (64.2%) compared to the prior period (59.2%), with incidents on wet roads falling from 98 to 52. Lighting conditions remained stable, with crashes in daylight accounting for 70.0% of incidents, compared to 71.6% the previous year.

Weather

Clear364 (80.0%)
26.4%prior 288
Cloudy57 (12.5%)
-51.7%prior 118
Rain30 (6.6%)
-63.0%prior 81
Freezing Precipitation3 (0.7%)
Wind1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · Weather condition at time of crash

Lighting

Daylight430 (70.4%)
-5.7%prior 456
Dark181 (29.6%)
4.6%prior 173

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · Lighting condition field

Road Surface

Dry394 (86.2%)
4.5%prior 377
Wet52 (11.4%)
-46.9%prior 98
Sand, mud, dirt, oil, gravel5 (1.1%)
Ice3 (0.7%)
-40.0%prior 5
Water (standing / moving)1 (0.2%)
Other - Explain in Narrative1 (0.2%)
Snow1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-10-01 through 2024-10-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 614

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: October 2024." Published July 5, 2026. Reporting period: 2024-10-01 to 2024-10-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/october-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 — October 2024 | ThatCarHitMe.com