Yearly Traffic Safety Analysis

26 CRASHES IN
WOODSTOCK, VT
2022

All metrics benchmarked against2021

Total crashes in Woodstock, VT decreased by 43.5% year-over-year, from 46 crashes in 2021 to 26 crashes in 2022. This significant reduction in overall incidents is the most notable shift in crash data between the two periods. While total injuries saw a slight decrease, the proportion of crashes resulting in injury increased.

26

-43.5%was 46

Total Crash Events

0

Fatal Crashes

10

-9.1%was 11

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.

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, crashes in Woodstock, VT showed a significant downward trend, decreasing by 43.5% from 46 crashes in 2021 to 26 crashes in 2022. This reduction indicates a substantial improvement in crash frequency. Total injuries also saw a slight decrease, moving from 11 in 2021 to 10 in 2022.

When Crashes Happen

The peak day for crashes shifted from Thursday in 2021, with 11 incidents, to Friday in 2022, with 6 incidents. Similarly, the peak crash hour moved from 12 PM in 2021, which saw 8 crashes, to 2 PM in 2022, with 5 crashes. This indicates a change in the specific times and days when crashes are most frequent.

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

Both 2021 and 2022 reported zero fatalities. Total injuries decreased slightly from 11 in 2021 to 10 in 2022. However, the proportion of crashes resulting in injury increased from 23.9% in 2021 to 38.5% in 2022, while the proportion of crashes with no injury decreased from 67.4% to 61.5%.

Outcome by Severity (Crash Events)

Injury10minor injury crashes38.5%
-9.1%prior 11
No Injury16no injury crashes61.5%
-48.4%prior 31

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

Crashes occurring in clear weather decreased from 19 in 2021 to 8 in 2022, and cloudy conditions saw a slight decrease from 4 to 3. Freezing precipitation was reported in 2021 but not in 2022. Crashes during daylight hours decreased from 37 in 2021 to 16 in 2022, while crashes in dark conditions remained stable at 9 for both years. Dry road surface crashes decreased from 17 to 11, and wet road crashes remained at 2, with snow and ice conditions present in 2021 but not in 2022.

Weather

Clear8 (72.7%)
-57.9%prior 19
Cloudy3 (27.3%)

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

Lighting

Daylight16 (64.0%)
-56.8%prior 37
Dark9 (36.0%)
0.0%prior 9

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

Road Surface

Dry11 (84.6%)
-35.3%prior 17
Wet2 (15.4%)

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: Woodstock, VT
  • Total crash records analyzed: 26

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). "Woodstock, 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/woodstock/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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Woodstock, VT Crash Report — 2022 | ThatCarHitMe.com