Monthly Traffic Safety Analysis

659 CRASHES IN
VERMONT, VT
NOVEMBER 2022

All metrics benchmarked againstNovember 2021

In November 2022, there were 659 total crashes, a 37.6% decrease from the 1,056 crashes recorded in November 2021. Despite this significant drop in overall collisions, the number of resulting injuries remained nearly unchanged, with 125 in the current period compared to 126 in the prior year. The most notable year-over-year shift was the substantial reduction in the total volume of traffic incidents while the proportion of crashes resulting in injury increased.

659

▼ -37.6%was 1,056

Total Crash Events

4

▼ -33.3%was 6

Fatal Crashes

125

▼ -0.8%was 126

Injury Crashes

4

▼ -33.3%was 6

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 34 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year data for November indicates a significant downward trend in the total number of crashes, which fell by 397 incidents from 1,056 in 2021 to 659 in 2022. Fatalities also decreased from 6 to 4 between the two periods. However, the number of injuries remained stable, with 125 recorded in November 2022, just one fewer than the 126 injuries in November 2021.

When Crashes Happen

The temporal patterns of crashes showed a notable shift between November 2021 and November 2022. The peak day for crashes moved from Friday (218 crashes) in the prior year to Wednesday (153 crashes) in the current period. While the 5 p.m. hour remained the most frequent time for collisions in both years, the volume of crashes during this peak hour decreased from 116 to 59.

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the total number of crashes fell, the severity of those crashes increased proportionally. The fatal crash rate rose slightly from 0.57% in November 2021 to 0.61% in November 2022. More significantly, the proportion of crashes resulting in an injury increased from 11.9% of all crashes in the prior period to 19.0% in the current period. The absolute number of injury-related incidents remained nearly identical, with 125 in November 2022 compared to 126 in the previous year.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.6%
↓-33.3%prior 6
Injury125minor injury crashes19%
↓-0.8%prior 126
No Injury496no injury crashes75.3%
↓-0.8%prior 500

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record

Road & Environmental Conditions

A higher proportion of crashes in November 2022 occurred in clear and dry conditions compared to the previous year. Crashes during daylight hours constituted 70.4% of the total, up from 65.3% in November 2021. Similarly, collisions on dry roads represented a larger share of incidents than in the prior year. The share of crashes occurring in adverse weather, such as rain or freezing precipitation, decreased relative to those in clear weather.

Weather

Clear333 (64.8%)
↑16.8%prior 285
Cloudy81 (15.8%)
↓-27.7%prior 112
Freezing Precipitation56 (10.9%)
↓-12.5%prior 64
Rain44 (8.6%)
↑18.9%prior 37

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash

Lighting

Daylight464 (71.2%)
↓-32.8%prior 690
Dark188 (28.8%)
↓-48.1%prior 362

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field

Road Surface

Dry373 (72.6%)
↑12.3%prior 332
Wet69 (13.4%)
↓-26.6%prior 94
Snow54 (10.5%)
→0.0%prior 54
Ice10 (1.9%)
↓-23.1%prior 13
Slush4 (0.8%)
Sand, mud, dirt, oil, gravel2 (0.4%)
Other - Explain in Narrative2 (0.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-11-01 to 2022-11-30 · 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: 2022-11-01 through 2022-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-11-01 through 2022-11-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 659

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: November 2022." Published July 5, 2026. Reporting period: 2022-11-01 to 2022-11-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/november-2022-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

Vermont (Statewide) Crash Report — November 2022 | ThatCarHitMe.com