Monthly Traffic Safety Analysis

779 CRASHES IN
VERMONT, VT
JUNE 2018

All metrics benchmarked againstJune 2017

In June 2018, Vermont recorded 779 total traffic crashes, a 20.9% decrease from the 985 crashes reported in June 2017. Despite the overall reduction in collisions, the number of fatalities increased from 6 to 8 year-over-year. A notable shift occurred in collision types, with head-on crashes increasing from 27 in the prior year to 50 in the current period.

779

-20.9%was 985

Total Crash Events

8

33.3%was 6

Fatal Crashes

178

-1.1%was 180

Injury Crashes

8

33.3%was 6

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 · 2018-06-01 to 2018-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the total number of traffic crashes in Vermont saw a significant year-over-year decline in June, falling by 20.9% from 985 incidents in 2017 to 779 in 2018. While the number of injuries remained stable, decreasing slightly from 180 to 178, the number of fatalities increased from 6 to 8. This indicates a downward trend in crash frequency but an increase in the severity of fatal outcomes.

When Crashes Happen

The temporal patterns for crashes remained largely consistent year-over-year. Friday was the most frequent day for collisions in both June 2018 (169 crashes) and June 2017 (175 crashes). Similarly, the afternoon was the peak time in both years, with the 4 p.m. hour seeing the most incidents in June 2018 (76 crashes). In the prior year, the peak was slightly more spread out across the afternoon, with the 2 p.m., 3 p.m., and 4 p.m. hours each recording 80 crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2018-06-01 to 2018-06-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2018-06-01 to 2018-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the severity of outcomes worsened in June 2018 compared to the previous year. The fatal crash rate increased from 0.61 to 1.03 per 100 crashes, with the total number of fatal incidents rising from 6 to 8. Similarly, the proportion of crashes resulting in an injury grew from 18.3% in June 2017 to 22.8% in June 2018, while the share of non-injury crashes decreased.

Outcome by Severity (Crash Events)

Fatal8fatal crashes1%
33.3%prior 6
Injury178minor injury crashes22.8%
-1.1%prior 180
No Injury593no injury crashes76.1%
-7.9%prior 644

Source: Vermont Crash Data · Arcgis Open Data · 2018-06-01 to 2018-06-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2018-06-01 to 2018-06-30 · Most severe injury per crash record

Road & Environmental Conditions

Crashes in June 2018 occurred under more favorable road and weather conditions compared to the same month in 2017. The proportion of collisions happening on dry road surfaces increased from 58.9% to 73.4%, while crashes on wet roads fell from 14.9% to 8.5%. Similarly, a larger share of crashes took place in clear weather (60.0% in 2018 vs. 46.9% in 2017). The distribution of crashes by lighting conditions remained stable, with approximately 79% of incidents in both years occurring during daylight hours.

Weather

Clear467 (72.4%)
1.1%prior 462
Cloudy119 (18.4%)
-23.7%prior 156
Rain59 (9.1%)
-47.8%prior 113

Source: Vermont Crash Data · Arcgis Open Data · 2018-06-01 to 2018-06-30 · Weather condition at time of crash

Lighting

Daylight616 (79.8%)
-21.6%prior 786
Dark156 (20.2%)
-19.6%prior 194

Source: Vermont Crash Data · Arcgis Open Data · 2018-06-01 to 2018-06-30 · Lighting condition field

Road Surface

Dry572 (88.5%)
-1.4%prior 580
Wet66 (10.2%)
-55.1%prior 147
Sand, mud, dirt, oil, gravel3 (0.5%)
Water (standing / moving)3 (0.5%)
-40.0%prior 5
Other - Explain in Narrative2 (0.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-06-01 to 2018-06-30 · 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: 2018-06-01 through 2018-06-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2018-06-01 through 2018-06-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 779

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 2018." Published July 5, 2026. Reporting period: 2018-06-01 to 2018-06-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/june-2018-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 2018 | ThatCarHitMe.com