Yearly Traffic Safety Analysis

28 CRASHES IN
BARNET, VT
2014

All metrics benchmarked against2013

Total crashes in Barnet decreased by 12.5% from 32 in 2013 to 28 in 2014. Despite this reduction in overall crashes, the number of injuries increased by 66.7%, rising from 3 injuries in 2013 to 5 injuries in 2014. A notable shift was the increase in DUI-related crashes, which rose from 0 in 2013 to 2 in 2014.

28

-12.5%was 32

Total Crash Events

0

Fatal Crashes

5

66.7%was 3

Injury Crashes

0

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 7 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 crash trends in Barnet show a decrease in total incidents, with 28 crashes reported in 2014 compared to 32 crashes in 2013, representing a 12.5% reduction. However, the number of injuries saw a substantial increase of 66.7%, rising from 3 in 2013 to 5 in 2014. Fatalities remained at 0 in both years.

When Crashes Happen

The temporal distribution of crashes shifted year-over-year. In 2013, Friday was the peak day for crashes with 11 incidents, while in 2014, Wednesday became the peak day with 9 crashes. Crashes on Wednesday increased from 3 in 2013 to 9 in 2014, while crashes on Friday decreased from 11 in 2013 to 4 in 2014. The peak hour for crashes also shifted, with 4 crashes occurring at 4p in 2013, compared to 4 crashes occurring at 3p 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

Despite a decrease in total crashes, the proportion of injury-involved crashes increased from 9.4% (3 out of 32 crashes) in 2013 to 17.9% (5 out of 28 crashes) in 2014. The number of crashes resulting in no injury increased from 13 in 2013 to 16 in 2014. There were no fatal crashes reported in either 2013 or 2014.

Outcome by Severity (Crash Events)

Injury5minor injury crashes17.9%
66.7%prior 3
No Injury16no injury crashes57.1%
23.1%prior 13

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

Weather conditions at the time of crashes showed a significant shift, with crashes during Freezing Precipitation increasing from 1 in 2013 to 8 in 2014. Conversely, crashes during Rain decreased from 4 in 2013 to 1 in 2014. Correspondingly, crashes on Snow-covered roads rose from 2 in 2013 to 7 in 2014, and on Ice-covered roads from 1 to 4. Crashes occurring in Daylight decreased from 24 in 2013 to 21 in 2014, while those in Dark conditions decreased from 8 to 7.

Weather

Clear9 (42.9%)
12.5%prior 8
Freezing Precipitation8 (38.1%)
Cloudy3 (14.3%)
Rain1 (4.8%)

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

Lighting

Daylight21 (75.0%)
-12.5%prior 24
Dark7 (25.0%)
-12.5%prior 8

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

Road Surface

Dry8 (38.1%)
-11.1%prior 9
Snow7 (33.3%)
Ice4 (19.0%)
Wet2 (9.5%)

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 6, 2026

Data Coverage

  • Reporting period: 2014-01-01 through 2014-12-31 (365 days)
  • Geographic scope: Barnet, VT
  • Total crash records analyzed: 28

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). "Barnet, VT Crash Intelligence Report: 2014." Published July 6, 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/barnet/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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Barnet, VT Crash Report — 2014 | ThatCarHitMe.com