Yearly Traffic Safety Analysis

871 CRASHES IN
SOUTH BURLINGTON, VT
2012

All metrics benchmarked against2011

In 2012, South Burlington recorded 871 crashes, a slight decrease of 1.13% from the 881 crashes reported in 2011. The most significant year-over-year change was the reduction in total fatalities, dropping from 1 in 2011 to 0 in 2012.

871

-1.1%was 881

Total Crash Events

0

-100.0%was 1

Fatal Crashes

66

-24.1%was 87

Injury Crashes

0

-100.0%was 1

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 4 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for South Burlington indicates a decreasing trend from 2011 to 2012. Total crashes decreased by 1.13%, from 881 to 871. Furthermore, total fatalities dropped from 1 in 2011 to 0 in 2012, and total injuries decreased by 24.14% from 87 to 66.

When Crashes Happen

The peak day for crashes remained Friday in both years, with 171 crashes in 2012 compared to 165 in 2011. However, the peak hour for crashes shifted from 5 PM in 2011, which saw 92 crashes, to 3 PM in 2012, with 90 crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There was a notable improvement in crash severity, with total fatalities decreasing from 1 in 2011 to 0 in 2012. Injury crashes also saw a reduction, dropping from 87 in 2011 to 66 in 2012, representing a decrease in their proportion of total crashes from 9.9% to 7.6%.

Outcome by Severity (Crash Events)

Injury66minor injury crashes7.6%
-24.1%prior 87
No Injury801no injury crashes92%
1.1%prior 792

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 450 in 2011 to 480 in 2012, while those in cloudy, rainy, or freezing precipitation conditions decreased. Regarding lighting, both daylight and dark condition crashes saw slight decreases. For road surface conditions, crashes on dry surfaces increased from 603 to 625, whereas crashes on wet and snowy surfaces decreased, with wet surface crashes dropping from 168 to 117.

Weather

Clear480 (59.7%)
6.7%prior 450
Cloudy228 (28.4%)
-13.3%prior 263
Rain59 (7.3%)
-21.3%prior 75
Freezing Precipitation37 (4.6%)
-26.0%prior 50

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Weather condition at time of crash

Lighting

Daylight727 (84.7%)
-1.2%prior 736
Dark131 (15.3%)
-7.7%prior 142

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Lighting condition field

Road Surface

Dry625 (77.8%)
3.6%prior 603
Wet117 (14.6%)
-30.4%prior 168
Snow33 (4.1%)
-31.3%prior 48
Ice21 (2.6%)
23.5%prior 17
Slush4 (0.5%)
-20.0%prior 5
Sand, mud, dirt, oil, gravel3 (0.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · 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: 2012-01-01 through 2012-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2012-01-01 through 2012-12-31 (366 days)
  • Geographic scope: South Burlington, VT
  • Total crash records analyzed: 871

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: 2012." Published July 5, 2026. Reporting period: 2012-01-01 to 2012-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/south-burlington/2012-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 — 2012 | ThatCarHitMe.com