Monthly Traffic Safety Analysis

1,067 CRASHES IN
VERMONT, VT
JULY 2015

All metrics benchmarked againstJuly 2014

In July 2015, Vermont recorded 1,067 total traffic crashes, a figure identical to the 1,067 crashes reported in July 2014. Despite the stable number of total collisions, the severity of outcomes shifted. The number of fatalities increased from 7 to 9 year-over-year, while the total number of injuries decreased from 208 to 188.

1,067

Total Crash Events

9

28.6%was 7

Fatal Crashes

188

-9.6%was 208

Injury Crashes

9

28.6%was 7

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 200 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall number of traffic crashes in Vermont remained unchanged in a year-over-year comparison for July, with 1,067 incidents in both 2015 and 2014. While the total volume of crashes was stable, the outcomes became more severe, as fatalities rose from 7 to 9. Conversely, the number of people injured in crashes saw a decrease of 9.6%, falling from 208 to 188.

When Crashes Happen

The timing of crashes showed notable shifts between July 2014 and July 2015. The peak day for collisions moved from Tuesday (203 crashes) in the prior year to Thursday (184 crashes) in the current period. Similarly, the peak hour for crashes shifted one hour later, from 4 p.m. in 2014 to 5 p.m. in 2015. While Wednesday and Thursday remained high-volume days in both periods, Friday saw a substantial increase in crashes, rising from 140 to 182 year-over-year.

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the total number of crashes was unchanged, their severity increased year-over-year. The number of fatal crashes rose from 7 in July 2014 to 9 in July 2015, increasing the fatal crash rate from 0.66 to 0.84 per 100 crashes. Concurrently, the proportion of crashes resulting in an injury decreased from 19.5% to 17.6%. The number of crashes with no reported injuries also declined, from 693 to 670.

Outcome by Severity (Crash Events)

Fatal9fatal crashes0.8%
28.6%prior 7
Injury188minor injury crashes17.6%
-9.6%prior 208
No Injury670no injury crashes62.8%
-3.3%prior 693

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · Most severe injury per crash record

Road & Environmental Conditions

The environmental conditions under which crashes occurred were generally more favorable in July 2015 compared to the previous year. Crashes on wet roads decreased from 88 to 65, and collisions during rainy conditions fell from 65 to 50. The proportion of crashes happening in daylight remained stable, accounting for 836 crashes in 2014 and 841 in 2015. Overall, there was a reduction in crashes reported under adverse weather and road surface conditions.

Weather

Clear598 (77.1%)
-2.4%prior 613
Cloudy127 (16.4%)
-15.9%prior 151
Rain50 (6.4%)
-23.1%prior 65
Freezing Precipitation1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · Weather condition at time of crash

Lighting

Daylight841 (79.8%)
0.6%prior 836
Dark213 (20.2%)
-4.5%prior 223

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · Lighting condition field

Road Surface

Dry708 (90.1%)
-3.5%prior 734
Wet65 (8.3%)
-26.1%prior 88
Sand, mud, dirt, oil, gravel10 (1.3%)
-9.1%prior 11
Other - Explain in Narrative2 (0.3%)
Water (standing / moving)1 (0.1%)
-80.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2015-07-01 to 2015-07-31 · 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: 2015-07-01 through 2015-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2015-07-01 through 2015-07-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,067

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: July 2015." Published July 5, 2026. Reporting period: 2015-07-01 to 2015-07-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/july-2015-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 — July 2015 | ThatCarHitMe.com