Monthly Traffic Safety Analysis

1,109 CRASHES IN
VERMONT, VT
JULY 2019

All metrics benchmarked againstJuly 2018

In July 2019, Vermont recorded 1,109 vehicle crashes, a 31.2% increase from the 845 crashes reported in July 2018. Despite the overall rise in collisions, the number of fatalities decreased significantly, dropping from 8 in the prior year period to 2 in the current period.

1,109

31.2%was 845

Total Crash Events

2

-75.0%was 8

Fatal Crashes

189

-5.5%was 200

Injury Crashes

2

-75.0%was 8

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 286 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Comparing July 2019 to the same month in 2018, total crashes across Vermont increased by 31.2%, from 845 to 1,109. However, the outcomes of these crashes became less severe on average. Total injuries saw a slight decrease of 5.5% from 200 to 189, while fatalities fell by 75%, from 8 to 2.

When Crashes Happen

The temporal patterns of crashes shifted between July 2018 and July 2019. The day with the highest number of crashes moved from Tuesday (151 crashes) in the prior period to Wednesday (203 crashes) in the current period. Similarly, the peak hour for collisions shifted from 4 PM (81 crashes) in 2018 to 1 PM (95 crashes) in 2019.

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Year-over-year, the severity of crashes decreased. The fatal crash rate fell from 0.95% of all crashes in July 2018 to 0.18% in July 2019, with fatal crashes dropping from 8 to 2. The proportion of crashes resulting in any injury also declined, from 23.7% in the prior period to 17.0% in the current period.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
-75.0%prior 8
Injury189minor injury crashes17%
-5.5%prior 200
No Injury632no injury crashes57%
-0.8%prior 637

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of environmental conditions during crashes remained largely consistent between July 2018 and July 2019. In both periods, approximately 80% of collisions occurred in daylight. The number of crashes in the rain was identical at 43, while the proportion of crashes on dry road surfaces also saw no significant year-over-year change.

Weather

Clear535 (83.2%)
-2.2%prior 547
Cloudy65 (10.1%)
6.6%prior 61
Rain43 (6.7%)
0.0%prior 43

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · Weather condition at time of crash

Lighting

Daylight889 (80.5%)
31.5%prior 676
Dark215 (19.5%)
35.2%prior 159

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · Lighting condition field

Road Surface

Dry582 (89.7%)
-2.5%prior 597
Wet52 (8.0%)
10.6%prior 47
Sand, mud, dirt, oil, gravel11 (1.7%)
Water (standing / moving)4 (0.6%)
-42.9%prior 7

Source: Vermont Crash Data · Arcgis Open Data · 2019-07-01 to 2019-07-31 · 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: 2019-07-01 through 2019-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2019-07-01 through 2019-07-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,109

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 2019." Published July 5, 2026. Reporting period: 2019-07-01 to 2019-07-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/july-2019-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 2019 | ThatCarHitMe.com