Monthly Traffic Safety Analysis

871 CRASHES IN
VERMONT, VT
JANUARY 2022

All metrics benchmarked againstJanuary 2021

In January 2022, there were 871 traffic crashes, a 16.3% decrease from the 1,040 crashes recorded in January 2021. Despite the overall decline in collisions, the number of resulting injuries increased by 52.8% year-over-year, from 106 to 162. Fatalities also rose from 2 in the prior period to 4 in the current period.

871

-16.3%was 1,040

Total Crash Events

4

100.0%was 2

Fatal Crashes

162

52.8%was 106

Injury Crashes

4

100.0%was 2

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 142 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The total number of crashes in Vermont fell by 16.3% from January 2021 to January 2022. While the volume of crashes decreased from 1,040 to 871, the severity of outcomes worsened. The number of persons injured rose from 106 to 162, and total fatalities doubled from 2 to 4.

When Crashes Happen

Temporal crash patterns shifted between the two periods. In January 2022, the peak day for crashes was Monday with 178 incidents, a change from the prior year when Saturday saw the most crashes at 267. The peak hour for collisions also moved from 12 p.m. in 2021 (81 crashes) to 8 a.m. in 2022 (75 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the severity of outcomes increased year-over-year. The number of fatal crashes doubled from 2 to 4, with the fatal crash rate rising from 0.19% to 0.46%. The proportion of collisions resulting in any injury also grew, accounting for 18.6% of all crashes in January 2022 compared to 10.2% in January 2021.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.5%
100.0%prior 2
Injury162minor injury crashes18.6%
52.8%prior 106
No Injury563no injury crashes64.6%
20.0%prior 469

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · Most severe injury per crash record

Road & Environmental Conditions

The proportion of crashes occurring in clear weather increased from 19.3% in January 2021 to 35.7% in January 2022. Correspondingly, the share of crashes on dry roads rose from 20.1% to 28.8% of the total. While crashes in daylight conditions remained the majority in both periods, the proportion of incidents on icy roads increased from 1.9% to 6.7% of all crashes year-over-year.

Weather

Clear311 (54.2%)
54.7%prior 201
Freezing Precipitation141 (24.6%)
9.3%prior 129
Cloudy115 (20.0%)
-10.9%prior 129
Rain4 (0.7%)
Wind3 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · Weather condition at time of crash

Lighting

Daylight653 (75.4%)
-12.2%prior 744
Dark213 (24.6%)
-25.3%prior 285

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · Lighting condition field

Road Surface

Dry251 (42.9%)
20.1%prior 209
Snow157 (26.8%)
14.6%prior 137
Wet87 (14.9%)
7.4%prior 81
Ice58 (9.9%)
190.0%prior 20
Slush24 (4.1%)
41.2%prior 17
Other - Explain in Narrative7 (1.2%)
Sand, mud, dirt, oil, gravel1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-01-31 · 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: 2022-01-01 through 2022-01-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-01-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 871

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: January 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-01-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/january-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 — January 2022 | ThatCarHitMe.com