Yearly Traffic Safety Analysis

29 CRASHES IN
ARLINGTON, VT
2022

All metrics benchmarked against2021

Total crashes in Arlington, VT remained stable at 29 incidents in 2022, mirroring the 29 crashes reported in 2021. Despite the consistent overall crash count, there was a notable 66.7% decrease in DUI-related crashes, falling from 3 in 2021 to 1 in 2022. Concurrently, injury crashes increased from 8 to 9, representing a 12.5% rise year-over-year.

29

Total Crash Events

0

Fatal Crashes

9

12.5%was 8

Injury Crashes

0

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 6 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash totals in Arlington, VT remained stable year-over-year, with 29 crashes recorded in both 2022 and 2021. However, total injuries increased by 12.5%, rising from 8 in 2021 to 9 in 2022. DUI-related crashes saw a significant downward trend, decreasing by 66.7% from 3 incidents in 2021 to 1 in 2022.

When Crashes Happen

The temporal patterns of crashes in Arlington, VT shifted between 2021 and 2022. In 2021, the peak day for crashes was Sunday with 7 incidents, while in 2022, Saturday became the peak day with 9 crashes. The peak hour also changed, moving from 3 p.m. with 5 crashes in 2021 to 6 p.m. with 5 crashes in 2022.

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both 2021 and 2022, indicating no change in the fatal crash rate. However, the number of total injuries increased from 8 in 2021 to 9 in 2022, a 12.5% rise. The proportion of crashes resulting in injury also saw an increase, moving from 27.6% of total crashes in 2021 to 31% in 2022.

Outcome by Severity (Crash Events)

Injury9minor injury crashes31%
12.5%prior 8
No Injury14no injury crashes48.3%
55.6%prior 9

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · 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 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions in Arlington, VT showed shifts in both weather and road surface factors year-over-year. Crashes occurring in clear weather significantly increased from 7 in 2021 to 16 in 2022, while crashes on dry road surfaces also rose from 10 in 2021 to 17 in 2022. Conversely, crashes in cloudy conditions decreased from 5 to 3, and crashes on wet road surfaces fell from 3 to 1 during the same period.

Weather

Clear16 (69.6%)
128.6%prior 7
Cloudy3 (13.0%)
-40.0%prior 5
Freezing Precipitation2 (8.7%)
Rain2 (8.7%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight20 (69.0%)
0.0%prior 20
Dark9 (31.0%)
0.0%prior 9

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry17 (73.9%)
70.0%prior 10
Snow2 (8.7%)
Wet1 (4.3%)
Slush1 (4.3%)
Ice1 (4.3%)
Sand, mud, dirt, oil, gravel1 (4.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · 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 2022-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: Arlington, VT
  • Total crash records analyzed: 29

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). "Arlington, VT Crash Intelligence Report: 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/arlington/2022-annual-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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Arlington, VT Crash Report — 2022 | ThatCarHitMe.com