Monthly Traffic Safety Analysis

881 CRASHES IN
VERMONT, VT
JUNE 2014

All metrics benchmarked againstJune 2013

In June 2014, Vermont recorded 881 total crashes, representing a 17.7% decrease from the 1,071 crashes in June 2013. While overall collisions declined, the number of reported injuries increased by 22.5%, rising from 173 to 212 year-over-year. The most significant change was a 50% reduction in traffic fatalities, which fell from 8 in the prior period to 4 in the current period.

881

▼ -17.7%was 1,071

Total Crash Events

4

▼ -50.0%was 8

Fatal Crashes

212

▲ 22.5%was 173

Injury Crashes

4

▼ -50.0%was 8

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for June 2014 indicates a downward trend in traffic collisions compared to the same month in the previous year. Total crashes fell by 17.7%, from 1,071 to 881, and the number of fatal crashes was halved, dropping from 8 to 4. In contrast to this trend, the number of individuals injured in these incidents rose from 173 to 212.

When Crashes Happen

The temporal patterns of crashes shifted between June 2013 and June 2014. The day with the most crashes changed from Friday, with 183 incidents in the prior year, to Monday, with 163 incidents in the current year. The peak hour for collisions also moved slightly later, from the 4 p.m. hour in 2013 (103 crashes) to the 5 p.m. hour in 2014 (86 crashes), with both periods showing a concentration of incidents during the afternoon commute.

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes shifted year-over-year, with the proportion of incidents resulting in a fatality decreasing from 0.7% in June 2013 to 0.5% in June 2014. However, the share of crashes involving an injury saw a notable increase, rising from 16.2% of all incidents in the prior period to 24.1% in the current period. This indicates that while total crashes and fatalities were down, the incidents that did occur were more likely to result in an injury.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.5%
↓-50.0%prior 8
Injury212minor injury crashes24.1%
↑22.5%prior 173
No Injury664no injury crashes75.4%
↓-12.6%prior 760

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · Most severe injury per crash record

Road & Environmental Conditions

Environmental conditions at the time of crashes showed a notable shift year-over-year. In June 2014, a higher proportion of crashes occurred in clear weather (67.5%) and on dry roads (79.3%) compared to June 2013, where those figures were 46.7% and 61.0%, respectively. Correspondingly, the share of crashes happening in the rain decreased from 15.0% to 8.5%, and incidents on wet roads fell from 18.3% to 10.3% of the total. Lighting conditions remained stable, with daylight crashes accounting for approximately 80% of incidents in both periods.

Weather

Clear595 (74.0%)
↑19.0%prior 500
Cloudy133 (16.5%)
↓-28.9%prior 187
Rain75 (9.3%)
↓-53.4%prior 161
Freezing Precipitation1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · Weather condition at time of crash

Lighting

Daylight704 (80.8%)
↓-18.8%prior 867
Dark167 (19.2%)
↓-14.4%prior 195

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · Lighting condition field

Road Surface

Dry699 (87.2%)
↑7.0%prior 653
Wet91 (11.3%)
↓-53.6%prior 196
Sand, mud, dirt, oil, gravel10 (1.2%)
↑25.0%prior 8
Water (standing / moving)1 (0.1%)
↓-83.3%prior 6
Other - Explain in Narrative1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-06-01 to 2014-06-30 · 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: 2014-06-01 through 2014-06-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-06-01 through 2014-06-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 881

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). "vermont, VT Crash Intelligence Report: June 2014." Published July 5, 2026. Reporting period: 2014-06-01 to 2014-06-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/june-2014-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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Vermont (Statewide) Crash Report — June 2014 | ThatCarHitMe.com