Yearly Traffic Safety Analysis

122 CRASHES IN
BARRE TOWN, VT
2012

All metrics benchmarked against2011

In Barre Town, the total number of crashes remained stable at 122 between the prior year (2011) and the current year (2012). However, total fatalities increased from 0 in 2011 to 1 in 2012, marking a significant change in crash outcomes. Additionally, total injuries rose by 33.3%, from 30 in the prior year to 40 in the current year.

122

Total Crash Events

1

Fatal Crashes

40

▲ 33.3%was 30

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.

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

Trend Summary

The overall number of crashes in Barre Town remained stable year-over-year, with 122 crashes reported in both 2011 and 2012. Despite this stability in total crash count, there was a notable increase in crash severity. Total fatalities rose from 0 in 2011 to 1 in 2012, and total injuries increased from 30 to 40, representing a 33.3% rise.

When Crashes Happen

The peak day for crashes remained Friday in both periods, with 25 crashes in the current year compared to 23 in the prior year. However, the peak crash hour shifted from 4 PM with 17 crashes in the prior year to 5 PM with 13 crashes in the current year. This indicates a slight shift in the timing of peak crash activity.

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

Crash severity saw a notable increase year-over-year, with fatal crashes rising from 0 in the prior year to 1 in the current year. Injury crashes also increased from 30 (24.6% of total crashes) in the prior year to 40 (32.8% of total crashes) in the current year. Conversely, the proportion of no-injury crashes decreased from 75.4% to 66.4%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.8%
Injury40minor injury crashes32.8%
↑33.3%prior 30
No Injury81no injury crashes66.4%
↓-12.0%prior 92

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

Regarding weather conditions, crashes in 'Cloudy' weather increased from 27 in the prior year to 31 in the current year, while 'Rain' crashes decreased from 7 to 5. For lighting conditions, crashes occurring in 'Dark' conditions increased from 27 in the prior year to 34 in the current year, while 'Daylight' crashes decreased from 95 to 88. On road surfaces, crashes on 'Dry' roads increased from 67 to 73, whereas crashes on 'Snow' surfaces decreased from 27 to 23.

Weather

Clear65 (54.2%)
↑1.6%prior 64
Cloudy31 (25.8%)
↑14.8%prior 27
Freezing Precipitation19 (15.8%)
→0.0%prior 19
Rain5 (4.2%)
↓-28.6%prior 7

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

Lighting

Daylight88 (72.1%)
↓-7.4%prior 95
Dark34 (27.9%)
↑25.9%prior 27

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

Road Surface

Dry73 (60.8%)
↑9.0%prior 67
Snow23 (19.2%)
↓-14.8%prior 27
Wet14 (11.7%)
↓-12.5%prior 16
Ice5 (4.2%)
↓-28.6%prior 7
Slush4 (3.3%)
Sand, mud, dirt, oil, gravel1 (0.8%)

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: Barre Town, VT
  • Total crash records analyzed: 122

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). "Barre Town, 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/barre-town/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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Barre Town, VT Crash Report — 2012 | ThatCarHitMe.com