Yearly Traffic Safety Analysis

195 CRASHES IN
MILTON, VT
2015

All metrics benchmarked against2014

In the current year, Milton experienced 195 crashes, an increase of 10.17% compared to the 177 crashes recorded in the prior year. The most notable year-over-year shift was the reduction in total fatalities, decreasing from 1 in the prior year to 0 in the current year.

195

10.2%was 177

Total Crash Events

0

-100.0%was 1

Fatal Crashes

30

7.1%was 28

Injury Crashes

0

-100.0%was 1

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 30 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend for crashes in Milton shows an increase, with total crashes rising from 177 in the prior year to 195 in the current year. This represents a 10.17% increase in crash incidents year-over-year.

When Crashes Happen

The temporal patterns for crashes showed shifts in peak times. The peak day for crashes moved from Thursday with 31 incidents in the prior year to Friday with 38 incidents in the current year. Additionally, the peak crash hour shifted from 11 AM with 22 crashes in the prior year to 5 PM with 20 crashes in the current year.

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity saw a positive change with total fatalities decreasing from 1 in the prior year to 0 in the current year, resulting in the fatal crash rate dropping from 0.56% to 0%. The number of injury crashes increased from 28 to 30, though the proportion of injury crashes remained relatively stable at 15.8% in the prior year and 15.4% in the current year.

Outcome by Severity (Crash Events)

Injury30minor injury crashes15.4%
7.1%prior 28
No Injury135no injury crashes69.2%
0.7%prior 134

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · 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 2015-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Analysis of crash conditions reveals shifts in weather and road surface factors. Crashes occurring in clear weather increased from 74 to 86, while those in cloudy conditions decreased from 54 to 35. Regarding road surface, dry road crashes slightly increased from 89 to 90, and ice-related crashes decreased from 19 to 14.

Weather

Clear86 (53.8%)
16.2%prior 74
Cloudy35 (21.9%)
-35.2%prior 54
Freezing Precipitation24 (15.0%)
20.0%prior 20
Rain14 (8.8%)
16.7%prior 12
Wind1 (0.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash

Lighting

Daylight145 (74.4%)
10.7%prior 131
Dark50 (25.6%)
8.7%prior 46

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field

Road Surface

Dry90 (55.6%)
1.1%prior 89
Snow27 (16.7%)
12.5%prior 24
Wet25 (15.4%)
0.0%prior 25
Ice14 (8.6%)
-26.3%prior 19
Slush3 (1.9%)
Water (standing / moving)2 (1.2%)
Other - Explain in Narrative1 (0.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · 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 2015-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2015-01-01 through 2015-12-31 (365 days)
  • Geographic scope: Milton, VT
  • Total crash records analyzed: 195

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). "Milton, VT Crash Intelligence Report: 2015." Published July 5, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/milton/2015-annual-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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Milton, VT Crash Report — 2015 | ThatCarHitMe.com