Yearly Traffic Safety Analysis

660 CRASHES IN
SOUTH BURLINGTON, VT
2025

All metrics benchmarked against2024

Total crashes in South Burlington increased by 3.61%, rising from 637 in the prior period to 660 in the current period. Fatalities saw a 50% increase, from 2 to 3, while injuries rose by 16.13%, from 62 to 72. The most significant year-over-year shift was in DUI-related crashes, which more than doubled from 9 to 20 incidents.

660

▲ 3.6%was 637

Total Crash Events

3

▲ 50.0%was 2

Fatal Crashes

72

▲ 16.1%was 62

Injury Crashes

3

▲ 50.0%was 2

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in South Burlington showed an upward trend year-over-year, with total crashes increasing by 3.61% from 637 to 660. This rise was accompanied by a 50% increase in fatalities, from 2 to 3, and a 16.13% increase in injuries, from 62 to 72. These figures indicate a general increase in both the frequency and severity of crashes.

When Crashes Happen

The peak day for crashes shifted from Tuesday, with 119 incidents in the prior period, to Thursday, which recorded 111 crashes in the current period. The peak hour for crashes remained 4p in both periods, with a slight increase from 71 to 72 crashes. Notably, Saturday saw a substantial increase in crashes, rising from 53 in the prior period to 86 in the current period.

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate increased from 0.31% in the prior period to 0.45% in the current period, corresponding to an increase in fatal crashes from 2 to 3. Injury crashes also saw an increase in proportion, rising from 9.7% to 10.9% of all crashes, with the total number of injured persons increasing from 62 to 72. Conversely, the proportion of no-injury crashes slightly decreased from 90% to 88.3%.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.5%
↑50.0%prior 2
Injury72minor injury crashes10.9%
↑16.1%prior 62
No Injury583no injury crashes88.3%
↑1.7%prior 573

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 317 in the prior period to 242 in the current period, while 'Cloudy' and 'Rain' conditions also saw fewer crashes. Conversely, crashes on 'Snow' surfaces increased from 28 to 36, and on 'Slush' surfaces from 1 to 6. Crashes on 'Dry' road surfaces decreased from 327 to 220, while those on 'Wet' surfaces also saw a reduction from 64 to 44.

Weather

Clear242 (74.9%)
↓-23.7%prior 317
Freezing Precipitation29 (9.0%)
↑7.4%prior 27
Cloudy26 (8.0%)
↓-42.2%prior 45
Rain26 (8.0%)
↓-16.1%prior 31

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight539 (81.9%)
↑4.1%prior 518
Dark119 (18.1%)
↑6.3%prior 112

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry220 (70.7%)
↓-32.7%prior 327
Wet44 (14.1%)
↓-31.3%prior 64
Snow36 (11.6%)
↑28.6%prior 28
Slush6 (1.9%)
Ice5 (1.6%)
→0.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: South Burlington, VT
  • Total crash records analyzed: 660

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). "South Burlington, VT Crash Intelligence Report: 2025." Published July 5, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/south-burlington/2025-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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South Burlington, VT Crash Report — 2025 | ThatCarHitMe.com