ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · VERMONT, VT · OCTOBER 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/vermont/statewide/october-2025-report
Monthly Traffic Safety Analysis
616 CRASHES IN
VERMONT, VT
OCTOBER 2025
In October 2025, there were 616 total traffic crashes, a figure that remained nearly stable compared to the 614 crashes recorded in October 2024. This represents a marginal year-over-year increase of just 0.3%. The most notable shift within this stable total was a significant increase in crash severity, with traffic fatalities rising from 5 to 8, even as the number of people injured in crashes decreased.
616
▲ 0.3%was 614
Total Crash Events
8
▲ 60.0%was 5
Fatal Crashes
151
▼ -15.2%was 178
Injury Crashes
8
▲ 60.0%was 5
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 · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in crash volume was stable year-over-year, with total incidents increasing by only two, from 614 to 616. However, this stability masks contrasting trends in crash outcomes. While total crashes were flat, the number of fatalities increased by 60% (from 5 to 8), and the number of injuries decreased by 15.2% (from 178 to 151).
When Crashes Happen
The temporal patterns of crashes showed some variation between the two periods. The peak day for crashes shifted from Wednesday (115 crashes) in October 2024 to Friday (120 crashes) in October 2025. The peak hour also shifted slightly earlier, from the 4 p.m. hour in the prior period (61 crashes) to the 3 p.m. hour in the current period (65 crashes), though the afternoon commute remained the most common time for incidents in both years.
Source: Vermont Crash Data · Arcgis Open Data · 2025-10-01 to 2025-10-31 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2025-10-01 to 2025-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity outcomes worsened year-over-year despite a drop in injuries. The fatal crash rate increased from 0.81% of all crashes in October 2024 to 1.3% in October 2025, corresponding with a rise in fatal crashes from 5 to 8. Conversely, the proportion of crashes resulting in an injury decreased from 29.0% to 24.5%, while the share of non-injury crashes grew from 69.4% to 72.6% of the total.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2025-10-01 to 2025-10-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2025-10-01 to 2025-10-31 · Most severe injury per crash record
Road & Environmental Conditions
While lighting conditions for crashes were nearly identical year-over-year, with roughly 70% of incidents occurring in daylight in both periods, there was a notable shift in reported weather and road surface conditions. The number of crashes occurring in the rain more than doubled, increasing from 30 in October 2024 to 68 in October 2025. Correspondingly, crashes on wet road surfaces rose from 52 to 85 during the same period.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2025-10-01 to 2025-10-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2025-10-01 to 2025-10-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2025-10-01 to 2025-10-31 · 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: 2025-10-01 through 2025-10-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-10-01 through 2025-10-31 (31 days)
- Geographic scope: vermont, VT
- Total crash records analyzed: 616
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 2025." Published July 5, 2026. Reporting period: 2025-10-01 to 2025-10-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/october-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Vermont Crash Data · Arcgis
Period: 2025-10-01 – 2025-10-31
Generated: July 5, 2026 · All rights reserved