Monthly Traffic Safety Analysis

706 CRASHES IN
VERMONT, VT
JUNE 2022

All metrics benchmarked againstJune 2021

In June 2022, Vermont recorded 706 traffic crashes, a 23.0% decrease from the 917 crashes reported in June 2021. Despite the overall reduction in collisions, the number of traffic-related fatalities rose significantly, increasing by 80% from 5 in June 2021 to 9 in June 2022. This divergence between fewer total crashes but more fatalities marks the most notable shift in the year-over-year data.

706

-23.0%was 917

Total Crash Events

9

80.0%was 5

Fatal Crashes

153

-8.4%was 167

Injury Crashes

9

80.0%was 5

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 103 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in traffic collisions shows a significant decline in June 2022 compared to the same month in the prior year. Total crashes across Vermont fell by 23.0%, from 917 to 706. The number of injuries also saw a decrease, dropping by 8.4% from 167 in June 2021 to 153 in June 2022.

When Crashes Happen

While Wednesday remained the peak day for crashes in both June 2021 (158 crashes) and June 2022 (124 crashes), the peak hour shifted. In June 2021, the most crashes occurred during the 3 p.m. hour with 83 incidents. In June 2022, the peak shifted two hours later to the 5 p.m. hour, which recorded 71 crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the total number of crashes decreased, the severity of those crashes increased from June 2021 to June 2022. The proportion of crashes resulting in a fatality more than doubled, rising from 0.5% of all crashes to 1.3%. Similarly, crashes involving injuries made up a larger share of the total, increasing from 18.2% in the prior year to 21.7% in the current period.

Outcome by Severity (Crash Events)

Fatal9fatal crashes1.3%
80.0%prior 5
Injury153minor injury crashes21.7%
-8.4%prior 167
No Injury441no injury crashes62.5%
-7.7%prior 478

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record

Road & Environmental Conditions

In both periods, the vast majority of crashes occurred during daylight hours on dry roads. In June 2022, crashes in daylight accounted for 79.7% of the total, compared to 77.5% in June 2021. Among crashes with recorded road conditions, the proportion occurring on wet surfaces increased from 5.8% in 2021 to 8.0% in 2022. Similarly, for crashes with known weather data, incidents during rain rose from 3.4% to 5.0% of the recorded total.

Weather

Clear381 (80.0%)
-8.4%prior 416
Cloudy70 (14.7%)
-5.4%prior 74
Rain24 (5.0%)
41.2%prior 17
Wind1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · Weather condition at time of crash

Lighting

Daylight563 (79.9%)
-20.8%prior 711
Dark142 (20.1%)
-30.4%prior 204

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field

Road Surface

Dry427 (90.3%)
-8.2%prior 465
Wet38 (8.0%)
31.0%prior 29
Sand, mud, dirt, oil, gravel6 (1.3%)
20.0%prior 5
Other - Explain in Narrative2 (0.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-06-01 through 2022-06-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 706

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: June 2022." Published July 5, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/june-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 — June 2022 | ThatCarHitMe.com