Monthly Traffic Safety Analysis

599 CRASHES IN
VERMONT, VT
APRIL 2022

All metrics benchmarked againstApril 2021

In April 2022, Vermont recorded 599 total traffic crashes, a 12.7% decrease from the 686 crashes reported in April 2021. Despite the overall reduction in collisions, the number of fatalities resulting from these crashes increased significantly. Fatalities rose from 4 in the prior year's period to 7 in the current period, marking the most notable year-over-year shift in the data.

599

-12.7%was 686

Total Crash Events

7

75.0%was 4

Fatal Crashes

124

9.7%was 113

Injury Crashes

7

75.0%was 4

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 100 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

While the total volume of crashes in Vermont saw a year-over-year decline for the month of April, the severity of these incidents increased. Total collisions fell by 12.7%, from 686 to 599. Conversely, the number of people injured rose by 9.7% from 113 to 124, and total fatalities increased from 4 to 7.

When Crashes Happen

The timing of crashes shifted between the two periods. In April 2021, the peak day for crashes was Thursday with 139 incidents, and the peak hour was 2 p.m. with 55 incidents. In April 2022, the peak day moved to Friday with 108 crashes, and the peak hour shifted later in the day to 4 p.m., which saw 51 crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity worsened in April 2022 compared to the same month in the prior year. The number of fatal crashes increased from 4 to 7, causing the fatal crash rate to nearly double from 0.58% to 1.17% of all collisions. The number of injuries also increased from 113 to 124, even as the total number of crashes decreased.

Outcome by Severity (Crash Events)

Fatal7fatal crashes1.2%
75.0%prior 4
Injury124minor injury crashes20.7%
9.7%prior 113
No Injury368no injury crashes61.4%
2.8%prior 358

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of crashes across environmental conditions remained largely consistent year-over-year. In both April 2021 and April 2022, a majority of crashes occurred in daylight (77.0% and 75.6%, respectively). Similarly, the proportion of collisions on dry road surfaces was stable, accounting for 74.4% of crashes with known road conditions in 2021 and 75.8% in 2022.

Weather

Clear239 (63.1%)
4.8%prior 228
Cloudy80 (21.1%)
48.1%prior 54
Rain41 (10.8%)
2.5%prior 40
Freezing Precipitation19 (5.0%)
-52.5%prior 40

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash

Lighting

Daylight453 (76.3%)
-14.2%prior 528
Dark141 (23.7%)
-7.8%prior 153

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field

Road Surface

Dry294 (75.8%)
8.5%prior 271
Wet70 (18.0%)
20.7%prior 58
Snow10 (2.6%)
-28.6%prior 14
Ice7 (1.8%)
-12.5%prior 8
Slush4 (1.0%)
Other - Explain in Narrative2 (0.5%)
Water (standing / moving)1 (0.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-04-01 through 2022-04-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 599

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: April 2022." Published July 5, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/april-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

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