Yearly Traffic Safety Analysis

71 CRASHES IN
SWANTON, VT
2024

All metrics benchmarked against2023

In 2024, there were 71 crashes, a decrease from 75 crashes in 2023, representing a 5.33% reduction. The most significant shift observed is the emergence of a fatal crash and one fatality in 2024, compared to zero in 2023.

71

-5.3%was 75

Total Crash Events

1

Fatal Crashes

21

-12.5%was 24

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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes decreased by 5.33% year-over-year, from 75 crashes in 2023 to 71 crashes in 2024. While total injuries saw a slight decrease from 24 to 21, a notable and concerning trend is the increase in total fatalities from 0 in 2023 to 1 in 2024.

When Crashes Happen

Temporal patterns show a shift in peak activity year-over-year. In 2024, the peak day for crashes was Thursday with 13 incidents, whereas in 2023, Monday recorded the highest number with 17 crashes. Similarly, the peak crash hour shifted from 3 PM with 11 crashes in 2023 to 7 AM with 8 crashes in 2024.

Source: Vermont Crash Data · Arcgis Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity data indicates a significant change, with one fatal crash and one fatality occurring in 2024, compared to zero fatal crashes and fatalities in 2023. Injury crashes decreased from 24 (32% of total) in 2023 to 21 (29.6% of total) in 2024. The proportion of no-injury crashes remained relatively stable, accounting for 69% of crashes in 2024 versus 68% in 2023.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.4%
Injury21minor injury crashes29.6%
-12.5%prior 24
No Injury49no injury crashes69%
-3.9%prior 51

Source: Vermont Crash Data · Arcgis Open Data · 2024-01-01 to 2024-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Regarding crash conditions, crashes in clear weather increased from 43 in 2023 to 45 in 2024, while cloudy conditions saw a decrease from 10 to 7 crashes. The number of crashes on wet road surfaces nearly doubled, rising from 6 in 2023 to 11 in 2024. Additionally, 2023 recorded crashes in snow (4), ice (2), and freezing precipitation (3) which were not present in 2024 data, while 2024 saw 1 crash in windy conditions not present in 2023.

Weather

Clear45 (75.0%)
4.7%prior 43
Cloudy7 (11.7%)
-30.0%prior 10
Rain7 (11.7%)
Wind1 (1.7%)

Source: Vermont Crash Data · Arcgis Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight54 (76.1%)
-5.3%prior 57
Dark17 (23.9%)
-5.6%prior 18

Source: Vermont Crash Data · Arcgis Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry50 (82.0%)
2.0%prior 49
Wet11 (18.0%)
83.3%prior 6

Source: Vermont Crash Data · Arcgis Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Swanton, VT
  • Total crash records analyzed: 71

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). "Swanton, VT Crash Intelligence Report: 2024." Published July 5, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/swanton/2024-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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Swanton, VT Crash Report — 2024 | ThatCarHitMe.com