Yearly Traffic Safety Analysis

1,380 CRASHES IN
BURLINGTON, VT
2014

All metrics benchmarked against2013

Total crashes in Burlington decreased from 1452 in 2013 to 1380 in 2014, representing a 4.95% reduction. A notable shift was the decrease in bicycle crashes, which fell by 29.27% from 41 incidents in 2013 to 29 in 2014.

1,380

-5.0%was 1,452

Total Crash Events

1

Fatal Crashes

159

-8.6%was 174

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

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Burlington showed a downward trend, decreasing by 4.95% year-over-year. The number of crashes fell from 1452 in 2013 to 1380 in 2014.

When Crashes Happen

The peak day for crashes shifted from Friday in 2013, with 249 crashes, to Thursday in 2014, with 237 crashes. The peak hour for crashes remained 5p in both years, though the count decreased from 150 crashes in 2013 to 133 crashes in 2014.

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The total number of fatalities remained constant at 1 in both 2013 and 2014. Total injuries decreased by 8.62%, from 174 in 2013 to 159 in 2014. The proportion of injury crashes slightly decreased from 12% in 2013 to 11.5% in 2014, while crashes with no injury increased from 87.1% to 88.2%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
0.0%prior 1
Injury159minor injury crashes11.5%
-8.6%prior 174
No Injury1,217no injury crashes88.2%
-3.8%prior 1,265

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather increased from 728 in 2013 to 738 in 2014, while those in cloudy conditions decreased from 324 to 317. Crashes on dry road surfaces increased from 880 to 904, whereas crashes on ice decreased from 37 to 23. Daylight crashes decreased from 1171 to 1111, and dark condition crashes decreased from 277 to 267.

Weather

Clear738 (59.9%)
1.4%prior 728
Cloudy317 (25.7%)
-2.2%prior 324
Freezing Precipitation88 (7.1%)
11.4%prior 79
Rain87 (7.1%)
3.6%prior 84
Wind2 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Weather condition at time of crash

Lighting

Daylight1,111 (80.6%)
-5.1%prior 1,171
Dark267 (19.4%)
-3.6%prior 277

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Lighting condition field

Road Surface

Dry904 (71.6%)
2.7%prior 880
Wet206 (16.3%)
10.2%prior 187
Snow106 (8.4%)
21.8%prior 87
Ice23 (1.8%)
-37.8%prior 37
Slush13 (1.0%)
-50.0%prior 26
Other - Explain in Narrative6 (0.5%)
Water (standing / moving)4 (0.3%)
Sand, mud, dirt, oil, gravel1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · 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: 2014-01-01 through 2014-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-01-01 through 2014-12-31 (365 days)
  • Geographic scope: Burlington, VT
  • Total crash records analyzed: 1,380

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). "Burlington, VT Crash Intelligence Report: 2014." Published July 5, 2026. Reporting period: 2014-01-01 to 2014-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/burlington/2014-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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Burlington, VT Crash Report — 2014 | ThatCarHitMe.com