Yearly Traffic Safety Analysis

42 CRASHES IN
WEATHERSFIELD, VT
2023

All metrics benchmarked against2022

In 2023, Weathersfield recorded 42 total crashes, a significant decrease of 56.25% compared to the 96 crashes reported in 2022. The most notable shift was the occurrence of one fatal crash in 2023, whereas no fatal crashes were recorded in 2022. This represents a substantial reduction in overall crash incidents but a critical increase in crash severity.

42

-56.3%was 96

Total Crash Events

1

Fatal Crashes

11

-47.6%was 21

Injury Crashes

1

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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend in Weathersfield indicates a substantial decrease in total crash incidents year-over-year. Total crashes fell by 56.25%, from 96 in 2022 to 42 in 2023. Despite this overall reduction, the number of fatalities increased from zero in 2022 to one in 2023, while total injuries decreased by 47.6%, from 21 to 11.

When Crashes Happen

The temporal patterns of crashes shifted between 2022 and 2023. In 2022, the peak day for crashes was Sunday with 18 incidents, but in 2023, Friday became the peak day with 10 crashes. The peak hour also changed, moving from 5 PM with 10 crashes in 2022 to 2 PM with 7 crashes in 2023.

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes in Weathersfield saw notable changes. Fatal crashes increased from zero in 2022 to one in 2023, resulting in a fatal crash rate of 2.38% in 2023 compared to 0% in the prior year. Injury crashes decreased in absolute number from 21 to 11, though their proportion of total crashes slightly increased from 21.9% in 2022 to 26.2% in 2023.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.4%
Injury11minor injury crashes26.2%
-47.6%prior 21
No Injury30no injury crashes71.4%
-36.2%prior 47

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Analysis of crash conditions reveals shifts in proportions, despite a decrease in overall crash numbers. Crashes occurring in clear weather conditions accounted for a larger proportion of total crashes in 2023 (59.5%) compared to 2022 (43.75%). Similarly, the proportion of crashes on dry road surfaces increased from 50% in 2022 to 64.3% in 2023, suggesting a higher concentration of crashes in typically less adverse conditions.

Weather

Clear25 (67.6%)
-40.5%prior 42
Freezing Precipitation5 (13.5%)
-37.5%prior 8
Rain4 (10.8%)
Cloudy3 (8.1%)
-70.0%prior 10

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight32 (76.2%)
-55.6%prior 72
Dark10 (23.8%)
-58.3%prior 24

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry27 (71.1%)
-43.8%prior 48
Wet6 (15.8%)
-33.3%prior 9
Snow3 (7.9%)
-57.1%prior 7
Ice1 (2.6%)
Slush1 (2.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Weathersfield, VT
  • Total crash records analyzed: 42

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). "Weathersfield, VT Crash Intelligence Report: 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/weathersfield/2023-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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Weathersfield, VT Crash Report — 2023 | ThatCarHitMe.com