ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · VERMONT, VT · OCTOBER 2023
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-2023-report
Monthly Traffic Safety Analysis
637 CRASHES IN
VERMONT, VT
OCTOBER 2023
In October 2023, Vermont recorded 637 traffic crashes, a 3.2% increase from the 617 incidents in October 2022. While the number of injuries remained stable, the most notable year-over-year change was a 50% rise in fatalities, which increased from 6 to 9 for the month.
637
▲ 3.2%was 617
Total Crash Events
9
▲ 50.0%was 6
Fatal Crashes
164
▼ -0.6%was 165
Injury Crashes
9
▲ 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. 9 crashes with unreported severity are not shown in the severity breakdown.
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall crash trend for October shows a slight year-over-year increase. Total collisions rose by 3.2%, from 617 in 2022 to 637 in 2023. However, this increase was not uniform across severity types, as total injuries decreased by a single person from 165 to 164, while fatalities increased from 6 to 9.
When Crashes Happen
The timing of crashes shifted between the two periods. The day with the most crashes moved from Saturday (112 incidents) in October 2022 to Tuesday (115 incidents) in October 2023. The peak hour for collisions also shifted slightly later in the day, from the 3 p.m. hour (68 crashes) in the prior year to the 4 p.m. hour (63 crashes) in the current period.
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The distribution of crash severity changed year-over-year. The proportion of fatal crashes increased, accounting for 1.4% of all incidents in October 2023 (9 crashes) compared to 1.0% (6 crashes) in the prior year. Conversely, the share of crashes resulting in an injury saw a slight decrease from 26.7% to 25.7%, while no-injury crashes increased from 65.8% to 71.4% of the total.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions in October 2023 were marked by a significant increase in adverse weather compared to the previous year. Crashes occurring in the rain more than tripled from 26 to 81, and incidents on wet road surfaces more than doubled from 46 to 98. Consequently, the share of crashes on dry roads fell from 65.2% in 2022 to 59.2% in 2023. The proportion of crashes in daylight versus dark conditions remained consistent across both periods.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2023-10-01 to 2023-10-31 · 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: 2023-10-01 through 2023-10-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-10-01 through 2023-10-31 (31 days)
- Geographic scope: vermont, VT
- Total crash records analyzed: 637
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 2023." Published July 5, 2026. Reporting period: 2023-10-01 to 2023-10-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/october-2023-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: 2023-10-01 – 2023-10-31
Generated: July 5, 2026 · All rights reserved