Monthly Traffic Safety Analysis

632 CRASHES IN
VERMONT, VT
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, Vermont recorded 632 total traffic crashes, a 4.7% decrease from the 663 crashes documented in July 2022. While the overall number of collisions declined, the number of crashes involving a driver under the influence (DUI) increased from 24 to 34 year-over-year.

632

-4.7%was 663

Total Crash Events

8

14.3%was 7

Fatal Crashes

154

5.5%was 146

Injury Crashes

8

14.3%was 7

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 5 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend shows a slight year-over-year decrease in total traffic incidents, with 31 fewer crashes in July 2023 compared to July 2022. However, this decrease in total crashes was accompanied by an increase in severity, as total fatalities rose from 7 to 8 and total injuries increased from 146 to 154.

When Crashes Happen

The peak hour for crashes was consistent year-over-year, with the 4 p.m. hour seeing the highest volume in both July 2023 (72 crashes) and July 2022 (70 crashes). However, the peak day of the week shifted, moving from Friday (126 crashes) in the prior period to Monday (107 crashes) in the current period.

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity increased in July 2023 compared to the previous year, despite a lower total crash count. The number of fatalities rose from 7 to 8, and total injuries increased from 146 to 154. Consequently, the fatal crash rate grew from 1.06% of all crashes in July 2022 to 1.27% in July 2023.

Outcome by Severity (Crash Events)

Fatal8fatal crashes1.3%
14.3%prior 7
Injury154minor injury crashes24.4%
5.5%prior 146
No Injury465no injury crashes73.6%
12.9%prior 412

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Road & Environmental Conditions

While the majority of crashes in both periods occurred in daylight, there was a notable shift in weather and road conditions. The proportion of crashes happening in the rain increased from 3.3% in July 2022 to 11.4% in July 2023. Correspondingly, crashes on wet road surfaces rose from 3.6% of the total in the prior period to 13.6% in the current period.

Weather

Clear337 (68.4%)
-12.2%prior 384
Cloudy84 (17.0%)
133.3%prior 36
Rain72 (14.6%)
227.3%prior 22

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight516 (82.6%)
-2.1%prior 527
Dark109 (17.4%)
-16.2%prior 130

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry399 (80.6%)
1.5%prior 393
Wet86 (17.4%)
258.3%prior 24
Water (standing / moving)5 (1.0%)
Sand, mud, dirt, oil, gravel4 (0.8%)
-60.0%prior 10
Other - Explain in Narrative1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 632

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 2023." Published July 5, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/july-2023-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 2023 | ThatCarHitMe.com