Monthly Traffic Safety Analysis

890 CRASHES IN
VERMONT, VT
OCTOBER 2018

All metrics benchmarked againstOctober 2017

In October 2018, there were 890 total crashes recorded in Vermont, representing a 2.2% decrease from the 910 crashes in October 2017. The number of fatalities was halved, falling from 6 in the prior year to 3 in the current period. A notable year-over-year shift was the increase in crashes occurring during adverse weather, with the proportion of collisions in clear conditions decreasing from 55.1% to 39.9%.

890

▼ -2.2%was 910

Total Crash Events

3

▼ -50.0%was 6

Fatal Crashes

155

▲ 5.4%was 147

Injury Crashes

3

▼ -50.0%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 · 2018-10-01 to 2018-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year data for October indicates a slight decrease in total traffic collisions, with crashes falling 2.2% from 910 in 2017 to 890 in 2018. While total crashes declined, the number of reported injuries saw a 5.4% increase, rising from 147 to 155. However, fatalities were reduced by 50%, dropping from 6 in the prior year to 3 in the current period.

When Crashes Happen

The temporal patterns of crashes remained largely consistent between October 2017 and October 2018. Tuesday was the peak day for crashes in both years, with 161 and 159 incidents, respectively. The 3 PM hour also remained the peak time for collisions, though the number of crashes during this hour increased from 74 to 88. While weekday afternoons consistently saw the highest crash volumes, the distinct morning peak in 2017 at 11 AM (73 crashes) was less pronounced in 2018, which saw a broader distribution of crashes between 9 AM and 12 PM.

Source: Vermont Crash Data · Arcgis Open Data · 2018-10-01 to 2018-10-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2018-10-01 to 2018-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes shifted between the two periods, with a notable decrease in fatal incidents. The number of fatal crashes fell from 6 in October 2017 to 3 in October 2018, and the fatal crash rate per 100 crashes decreased from 0.66 to 0.34. Conversely, the proportion of crashes resulting in an injury increased from 16.2% to 17.4% year-over-year. Crashes with no reported injuries accounted for 82.2% of incidents in 2018, compared to 70.1% in the prior year.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.3%
↓-50.0%prior 6
Injury155minor injury crashes17.4%
↑5.4%prior 147
No Injury732no injury crashes82.2%
↑14.7%prior 638

Source: Vermont Crash Data · Arcgis Open Data · 2018-10-01 to 2018-10-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2018-10-01 to 2018-10-31 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions varied significantly year-over-year, with a greater proportion of incidents in October 2018 occurring during adverse weather. The percentage of crashes in clear weather decreased from 55.1% in 2017 to 39.9% in 2018. Concurrently, crashes in cloudy conditions rose from 12.2% to 22.7%, and those in rain increased from 9.7% to 14.6%. This trend is reflected in road surface data, where the share of crashes on dry roads fell from 62.2% to 54.9%, while collisions on wet surfaces increased from 13.6% to 21.3%.

Weather

Clear355 (49.2%)
↓-29.1%prior 501
Cloudy202 (28.0%)
↑82.0%prior 111
Rain130 (18.0%)
↑47.7%prior 88
Freezing Precipitation35 (4.8%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-10-01 to 2018-10-31 · Weather condition at time of crash

Lighting

Daylight638 (72.8%)
↓-4.8%prior 670
Dark238 (27.2%)
↑3.0%prior 231

Source: Vermont Crash Data · Arcgis Open Data · 2018-10-01 to 2018-10-31 · Lighting condition field

Road Surface

Dry489 (67.5%)
↓-13.6%prior 566
Wet190 (26.2%)
↑53.2%prior 124
Slush15 (2.1%)
Ice13 (1.8%)
Sand, mud, dirt, oil, gravel6 (0.8%)
Snow5 (0.7%)
Water (standing / moving)4 (0.6%)
Other - Explain in Narrative2 (0.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-10-01 to 2018-10-31 · 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: 2018-10-01 through 2018-10-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2018-10-01 through 2018-10-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 890

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: October 2018." Published July 5, 2026. Reporting period: 2018-10-01 to 2018-10-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/october-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 — October 2018 | ThatCarHitMe.com