Yearly Traffic Safety Analysis

806 CRASHES IN
SOUTH BURLINGTON, VT
2010

In 2010, South Burlington experienced 806 crashes, resulting in 1 fatality and 72 injuries. The vast majority of crashes, 88.5%, did not involve any injuries. Rear-end collisions were the most frequent crash type, accounting for 39.3% of all incidents.

806

Total Crash Events

1

Fatal Crashes

72

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. 20 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Aggregate counts from crash, person, and vehicle records

When Crashes Happen

Crashes in South Burlington peaked on Thursdays with 143 incidents, and the peak hour for crashes was 5 PM, recording 90 incidents. The data indicates a strong daytime pattern, with 691 crashes occurring in daylight compared to 113 in dark conditions. December saw the highest number of crashes at 104, which also included the year's single fatality.

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 806 crashes in 2010, 713 (88.5%) resulted in no injuries, while 72 crashes (8.9%) involved injuries. There was 1 fatal crash recorded, which resulted in 1 fatality. It is important to note that a single fatal crash event can sometimes involve multiple fatalities, though in this period, the numbers are identical.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
Injury72minor injury crashes8.9%
No Injury713no injury crashes88.5%

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes occurred under favorable conditions, with 433 incidents happening in clear weather, 578 on dry road surfaces, and 691 during daylight hours. Adverse conditions also contributed to a significant number of crashes, including 81 in rain, 50 in freezing precipitation, 146 on wet roads, and 113 in dark conditions.

Weather

Clear433 (56.0%)
Cloudy209 (27.0%)
Rain81 (10.5%)
Freezing Precipitation50 (6.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Weather condition at time of crash

Lighting

Daylight691 (85.9%)
Dark113 (14.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Lighting condition field

Road Surface

Dry578 (73.2%)
Wet146 (18.5%)
Snow48 (6.1%)
Slush8 (1.0%)
Ice6 (0.8%)
Sand, mud, dirt, oil, gravel2 (0.3%)
Other - Explain in Narrative1 (0.1%)
Water (standing / moving)1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Road surface condition field

Deadliest Highway Corridors

The corridors with the highest crash counts were US-2 with 211 crashes, US-7 with 105 crashes, and VT-116 with 34 crashes. These three corridors collectively accounted for 350 crashes out of 806 total crashes in the period. I-189 and I-89 each recorded 17 crashes.

Deadliest Highway Corridors

1
US-2211 (54.9%)
2
US-7105 (27.3%)
3
VT-11634 (8.9%)
4
I-18917 (4.4%)
5
I-8917 (4.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records

Road Class

The "Other Public Roadway / Parking" classification accounted for the largest share of crashes with 236 incidents. Town or Local Roads followed with 147 crashes. Ramps and Spurs had a smaller impact, with 13 crashes recorded.

Road Class

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records

Junction / Location Type

Crashes were most commonly reported at "Not at a Junction" locations (236 incidents) and in "Parking Lots" (229 incidents). Intersections, including four-way (168), T-intersections (70), Y-intersections (8), and traffic circles/roundabouts (2), collectively accounted for 248 crashes, representing 30.7% of all incidents.

Junction / Location Type

1
Not at a Junction236 (29.4%)
2
Parking Lot229 (28.5%)
3
Four-way Intersection168 (20.9%)
4
T - Intersection70 (8.7%)
5
Other - Explain in Narrative31 (3.9%)
6
Driveway24 (3%)
7
Shared-use path or trail15 (1.9%)
8
Off Ramp13 (1.6%)
9
On Ramp8 (1%)

Showing top 9 of 11 reported. 2 additional (10 total) not shown: Y - Intersection, Traffic circle / roundabout.

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records

Vulnerable Users & Heavy Trucks

Among crashes involving specific non-standard road users, heavy trucks were the most common, involved in 41 incidents. Motorcycles were involved in 9 crashes, while pedestrians were involved in 5 crashes and bicycles in 4 crashes. The combined total for vulnerable users (pedestrians and bicycles) was 9 crashes, representing 15.25% of these specific collision types.

Manner of Collision

Rear-end collisions were the most prevalent manner of collision, accounting for 317 crashes, or 39.3% of all incidents. Same direction sideswipes were the second most common, with 120 crashes, followed by "Other - Explain in Narrative" at 107 crashes. Head-on collisions represented 25 crashes, or 3.1% of the total.

Manner of Collision

"Other" combines 12 smaller categories (92 records): Opp Direction Sideswipe (30), Head On (25), Left Turn and Thru, Broadside v<-- (7), Left Turn and Thru, Same Direction Sideswipe/Angle Crash vv-- (7), Right Turn and Thru, Same Direction Sideswipe/Angle Crash ^^-- (7), Right Turn and Thru, Broadside ^<-- (5), Right Turn and Thru, Angle Broadside -->^-- (3), Left Turns, Opposite Directions, Head On/Angle Crash --^v-- (2), Left and Right Turns, Simultaneous Turn Crash --vv-- (2), Left Turn and Thru, Head On ^v-- (2), Right Turn and Thru, Head On v^-- (1), Right Turn, Same Direction, Rear End ^--^-- (1).

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records

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: 2010-01-01 through 2010-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2010-01-01 through 2010-12-31 (365 days)
  • Geographic scope: South Burlington, VT
  • Total crash records analyzed: 806

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: 2010." Published July 5, 2026. Reporting period: 2010-01-01 to 2010-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/south-burlington/2010-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 — 2010 | ThatCarHitMe.com