Monthly Traffic Safety Analysis

930 CRASHES IN
VERMONT, VT
JULY 2017

All metrics benchmarked againstJuly 2016

In July 2017, there were 930 total crashes, a 7.9% decrease from the 1010 crashes recorded in July 2016. Despite the overall decline in collisions, the number of fatalities increased from 4 to 5 over the same period.

930

-7.9%was 1,010

Total Crash Events

5

25.0%was 4

Fatal Crashes

191

-6.4%was 204

Injury Crashes

5

25.0%was 4

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 142 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash totals in Vermont saw a decrease in July 2017 compared to the same month in the prior year. The state recorded 930 crashes, a 7.9% reduction from the 1010 crashes documented in July 2016. Similarly, the total number of injuries fell by 6.4%, from 204 to 191.

When Crashes Happen

The temporal patterns of crashes shifted year-over-year. The day with the highest number of collisions moved from Friday (198 crashes) in July 2016 to Monday (162 crashes) in July 2017. The peak hour for crashes also changed, moving from 4 PM in the prior year (97 crashes) to 2 PM in the current period (85 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The number of fatalities increased from 4 in July 2016 to 5 in July 2017, and the fatal crash rate rose from 0.4% to 0.54% of all crashes. The total number of injuries decreased from 204 to 191. The proportion of crashes resulting in an injury remained relatively stable, at 20.5% in July 2017 versus 20.2% in the prior year.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.5%
25.0%prior 4
Injury191minor injury crashes20.5%
-6.4%prior 204
No Injury592no injury crashes63.7%
-6.9%prior 636

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes on wet roads increased from 55 in July 2016 to 97 in July 2017, representing a rise from 5.4% to 10.4% of all incidents. Correspondingly, crashes on dry roads decreased from 705 to 595. The proportion of crashes occurring in dark conditions also increased, rising from 19.8% (200 crashes) in the prior year to 23.5% (219 crashes) in the current period.

Weather

Clear533 (76.5%)
-15.4%prior 630
Cloudy101 (14.5%)
3.1%prior 98
Rain62 (8.9%)
37.8%prior 45
Wind1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · Weather condition at time of crash

Lighting

Daylight703 (76.2%)
-11.6%prior 795
Dark219 (23.8%)
9.5%prior 200

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · Lighting condition field

Road Surface

Dry595 (84.9%)
-15.6%prior 705
Wet97 (13.8%)
76.4%prior 55
Sand, mud, dirt, oil, gravel4 (0.6%)
-60.0%prior 10
Water (standing / moving)3 (0.4%)
Other - Explain in Narrative1 (0.1%)
Snow1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-07-01 to 2017-07-31 · 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: 2017-07-01 through 2017-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2017-07-01 through 2017-07-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 930

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 2017." Published July 5, 2026. Reporting period: 2017-07-01 to 2017-07-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/july-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 — July 2017 | ThatCarHitMe.com