Monthly Traffic Safety Analysis

1,705 CRASHES IN
VERMONT, VT
JANUARY 2015

All metrics benchmarked againstJanuary 2014

In January 2015, there were 1,705 total crashes recorded in Vermont, representing a 32.5% increase from the 1,287 crashes in January 2014. Despite the significant rise in total collisions, the number of fatalities was halved, decreasing from 6 in the prior period to 3 in the current period. Total injuries saw a more modest increase of 7.5%, from 186 to 200 people injured.

1,705

▲ 32.5%was 1,287

Total Crash Events

3

▼ -50.0%was 6

Fatal Crashes

200

▲ 7.5%was 186

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. 485 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Comparing January 2015 to the same month in the prior year, the overall trend shows a substantial increase in traffic crashes, which rose by 418 incidents (+32.5%). In contrast to the rising number of collisions, the most severe outcomes decreased, with fatalities falling from 6 to 3. The number of persons injured increased from 186 to 200, a 7.5% rise.

When Crashes Happen

Friday was the day with the most crashes in both January 2015 (357 crashes) and January 2014 (262 crashes). However, the peak hour for collisions shifted from the 8 a.m. morning commute in the prior period (107 crashes) to the 4 p.m. afternoon commute in the current period (149 crashes). Crashes during the 3 p.m. to 5 p.m. hours were substantially higher in January 2015 compared to the previous year.

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes decreased year-over-year. The proportion of crashes resulting in a fatality fell from 0.5% in January 2014 to 0.2% in January 2015, and the fatal crash rate per 100 crashes dropped from 0.47 to 0.18. Similarly, the share of crashes involving an injury declined from 14.5% of all incidents in the prior period to 11.7% in the current period.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.2%
↓-50.0%prior 6
Injury200minor injury crashes11.7%
↑7.5%prior 186
No Injury1,017no injury crashes59.6%
↓-7.0%prior 1,094

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · Most severe injury per crash record

Road & Environmental Conditions

While the proportion of crashes occurring in daylight remained stable year-over-year, there was a notable shift in road surface conditions. In January 2014, snow was the most common road surface condition reported in crashes (383 incidents). In January 2015, dry roads became the most frequent condition, accounting for 386 crashes. Despite a 32.5% increase in total collisions, the number of crashes on snowy roads decreased from 383 to 356.

Weather

Clear499 (45.4%)
↓-8.6%prior 546
Freezing Precipitation323 (29.4%)
↑8.0%prior 299
Cloudy251 (22.8%)
↑3.3%prior 243
Rain21 (1.9%)
↓-58.0%prior 50
Wind6 (0.5%)
↓-14.3%prior 7

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · Weather condition at time of crash

Lighting

Daylight1,270 (75.1%)
↑31.1%prior 969
Dark421 (24.9%)
↑37.1%prior 307

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · Lighting condition field

Road Surface

Dry386 (34.7%)
↑5.2%prior 367
Snow356 (32.0%)
↓-7.0%prior 383
Ice169 (15.2%)
↓-22.5%prior 218
Wet144 (12.9%)
↓-14.3%prior 168
Slush44 (4.0%)
↑91.3%prior 23
Other - Explain in Narrative10 (0.9%)
↓-37.5%prior 16
Sand, mud, dirt, oil, gravel2 (0.2%)
Water (standing / moving)1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-01-31 · 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: 2015-01-01 through 2015-01-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2015-01-01 through 2015-01-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,705

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 2015." Published July 5, 2026. Reporting period: 2015-01-01 to 2015-01-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/january-2015-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 2015 | ThatCarHitMe.com