Yearly Traffic Safety Analysis

22 CRASHES IN
SOUTH HERO, VT
2016

All metrics benchmarked against2015

Total crashes in South Hero increased by 4.76%, from 21 in 2015 to 22 in 2016. The most notable year-over-year shift was the occurrence of 1 fatality in 2016, compared to 0 fatalities in 2015.

22

4.8%was 21

Total Crash Events

1

Fatal Crashes

10

66.7%was 6

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in South Hero saw a slight increase year-over-year, with total crashes rising from 21 in 2015 to 22 in 2016, a 4.76% increase. Fatalities increased from 0 in 2015 to 1 in 2016, while total injuries also rose from 6 to 10 during the same period.

When Crashes Happen

The temporal distribution of crashes shifted year-over-year. In 2015, the peak day for crashes was Saturday with 6 incidents, but in 2016, Friday became the peak day with 4 crashes. The peak hour also changed, moving from 3 p.m. with 3 crashes in 2015 to 11 a.m. with 4 crashes in 2016.

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity increased from 2015 to 2016, with a fatal crash rate rising from 0% to 4.55% as one fatal crash occurred in 2016 compared to none in 2015. Injury crashes also saw an increase, accounting for 45.5% of all crashes in 2016 (10 incidents) compared to 28.6% in 2015 (6 incidents). Conversely, crashes with no injuries decreased in proportion, representing 45.5% of incidents in 2016, down from 52.4% in 2015.

Outcome by Severity (Crash Events)

Fatal1fatal crashes4.5%
Injury10minor injury crashes45.5%
66.7%prior 6
No Injury10no injury crashes45.5%
-9.1%prior 11

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The proportion of crashes occurring in clear weather conditions slightly decreased, from 11 out of 16 reported weather conditions in 2015 to 13 out of 19 in 2016. Crashes on dry road surfaces remained the most common, with 15 incidents in 2016 compared to 13 in 2015, though crashes on snow were reported in 2015 (3 incidents) while crashes on wet surfaces (2 incidents) and ice (1 incident) were reported in 2016. The number of crashes occurring in daylight and dark conditions remained relatively stable, with 17 daylight and 5 dark crashes in 2016, compared to 16 daylight and 5 dark crashes in 2015.

Weather

Clear13 (68.4%)
18.2%prior 11
Rain3 (15.8%)
Cloudy2 (10.5%)
Freezing Precipitation1 (5.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Weather condition at time of crash

Lighting

Daylight17 (77.3%)
6.3%prior 16
Dark5 (22.7%)
0.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Lighting condition field

Road Surface

Dry15 (83.3%)
15.4%prior 13
Wet2 (11.1%)
Ice1 (5.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · 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: 2016-01-01 through 2016-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2016-01-01 through 2016-12-31 (366 days)
  • Geographic scope: South Hero, VT
  • Total crash records analyzed: 22

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 Hero, VT Crash Intelligence Report: 2016." Published July 5, 2026. Reporting period: 2016-01-01 to 2016-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/south-hero/2016-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 Hero, VT Crash Report — 2016 | ThatCarHitMe.com