Monthly Traffic Safety Analysis

985 CRASHES IN
VERMONT, VT
JUNE 2017

All metrics benchmarked againstJune 2016

In June 2017, there were 985 total crashes, a 5.0% increase from the 938 crashes recorded in June 2016. While total injuries decreased from 206 to 180, the most significant year-over-year change was the number of fatalities, which doubled from 3 to 6.

985

5.0%was 938

Total Crash Events

6

100.0%was 3

Fatal Crashes

180

-12.6%was 206

Injury Crashes

6

100.0%was 3

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 155 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash totals in June 2017 showed an increase compared to the same month in the prior year, rising from 938 to 985 incidents. While the overall number of crashes rose by 5.0%, the number of reported injuries decreased by 12.6% from 206 to 180. Conversely, the number of fatalities doubled, increasing from 3 to 6.

When Crashes Happen

The temporal patterns of crashes showed some shifts between June 2016 and June 2017. The day with the most crashes moved from Thursday (174) in 2016 to Friday (175) in 2017. Similarly, the peak hour for collisions shifted from the 3 p.m. hour in the prior year (77 crashes) to the 4 p.m. hour in the current year (80 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity increased notably in June 2017 compared to the previous year. The number of fatal crashes doubled from 3 to 6, and the corresponding fatal crash rate rose from 0.32% to 0.61%. While total crashes increased, the proportion of crashes resulting in an injury decreased from 22.0% in June 2016 to 18.3% in June 2017.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.6%
100.0%prior 3
Injury180minor injury crashes18.3%
-12.6%prior 206
No Injury644no injury crashes65.4%
-1.5%prior 654

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · Most severe injury per crash record

Road & Environmental Conditions

Driving conditions during crashes shifted between the two periods, with a notable increase in incidents occurring in adverse weather. Crashes in rainy conditions more than doubled from 44 in June 2016 to 113 in June 2017, and crashes on wet roads increased from 59 to 147. Consequently, the share of crashes on dry roads fell from 78.0% to 58.9% year-over-year. The proportion of crashes occurring in daylight conditions increased from 76.8% to 80.0%.

Weather

Clear462 (63.2%)
-28.5%prior 646
Cloudy156 (21.3%)
57.6%prior 99
Rain113 (15.5%)
156.8%prior 44

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · Weather condition at time of crash

Lighting

Daylight786 (80.2%)
9.2%prior 720
Dark194 (19.8%)
-8.1%prior 211

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · Lighting condition field

Road Surface

Dry580 (78.6%)
-20.7%prior 731
Wet147 (19.9%)
149.2%prior 59
Water (standing / moving)5 (0.7%)
Sand, mud, dirt, oil, gravel4 (0.5%)
-50.0%prior 8
Other - Explain in Narrative1 (0.1%)
Snow1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-06-01 to 2017-06-30 · 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: 2017-06-01 through 2017-06-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2017-06-01 through 2017-06-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 985

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 2017." Published July 5, 2026. Reporting period: 2017-06-01 to 2017-06-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/june-2017-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 2017 | ThatCarHitMe.com