Monthly Traffic Safety Analysis

1,312 CRASHES IN
VERMONT, VT
JANUARY 2018

All metrics benchmarked againstJanuary 2017

In January 2018, there were 1,312 total crashes recorded in Vermont, representing a 20.9% increase from the 1,085 crashes in January 2017. Despite the overall rise in collisions, the number of resulting fatalities decreased from 3 to 2, and total injuries fell from 148 to 137. The most notable year-over-year change was in crashes occurring on adverse road surfaces, with collisions on snowy roads increasing by 131% from 107 to 247 incidents.

1,312

▲ 20.9%was 1,085

Total Crash Events

2

▼ -33.3%was 3

Fatal Crashes

137

▼ -7.4%was 148

Injury Crashes

2

▼ -33.3%was 3

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 313 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Comparing January 2018 to the same month in 2017, the total number of crashes increased by 20.9%, rising from 1,085 to 1,312. However, the severity of these incidents trended downward, with total reported injuries decreasing by 7.4% from 148 to 137 and fatalities dropping from 3 to 2.

When Crashes Happen

The temporal pattern of crashes showed a notable shift between January 2017 and January 2018. While Tuesday remained the peak day for crashes in both periods, the peak hour for collisions moved from the morning commute (8 a.m. with 78 crashes) in 2017 to the evening commute (4 p.m. with 103 crashes) in 2018. The evening rush hour saw a more pronounced spike in incidents in the current period, with both the 4 p.m. and 5 p.m. hours recording over 100 crashes each, compared to a high of 73 crashes during the 5 p.m. hour in the prior year.

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

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

Crash Severity Breakdown

The overall severity of crashes decreased in January 2018 compared to the previous year. The fatal crash rate fell from 0.28% to 0.15%, with the number of fatal crashes dropping from 3 to 2. Similarly, the proportion of crashes resulting in an injury declined from 13.6% in January 2017 to 10.4% in January 2018. Despite a significant increase in total crashes, the absolute number of injuries also fell from 148 to 137.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
↓-33.3%prior 3
Injury137minor injury crashes10.4%
↓-7.4%prior 148
No Injury860no injury crashes65.5%
↑21.0%prior 711

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

Severity Distribution (Crash Events)

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

Road & Environmental Conditions

Driving conditions played a markedly different role in crashes in January 2018 compared to the prior year. The most significant change was in road surface conditions, where crashes on snowy roads increased by 131% (from 107 to 247) and crashes on icy roads rose by 34% (from 110 to 147). Conversely, collisions on dry roads saw a 46% decrease, falling from 399 to 217. While the number of crashes in darkness remained relatively stable, collisions in daylight conditions increased from 694 to 948.

Weather

Clear379 (47.1%)
↑4.7%prior 362
Freezing Precipitation202 (25.1%)
↑37.4%prior 147
Cloudy191 (23.7%)
↓-20.4%prior 240
Rain27 (3.4%)
↑35.0%prior 20
Wind6 (0.7%)

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

Lighting

Daylight948 (72.5%)
↑36.6%prior 694
Dark360 (27.5%)
↓-4.5%prior 377

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

Road Surface

Snow247 (30.8%)
↑130.8%prior 107
Dry217 (27.1%)
↓-45.6%prior 399
Ice147 (18.3%)
↑33.6%prior 110
Wet140 (17.5%)
↑12.0%prior 125
Slush33 (4.1%)
↑32.0%prior 25
Other - Explain in Narrative12 (1.5%)
Sand, mud, dirt, oil, gravel6 (0.7%)
↓-14.3%prior 7

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

Data Coverage

  • Reporting period: 2018-01-01 through 2018-01-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,312

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