Yearly Traffic Safety Analysis

210 CRASHES IN
MILTON, VT
2013

All metrics benchmarked against2012

Milton experienced a 22.81% increase in total crashes, rising from 171 in 2012 to 210 in 2013. Concurrently, total injuries increased by 28.57%, from 28 to 36 over the same period. This marks a notable year-over-year increase in both crash frequency and associated injuries.

210

22.8%was 171

Total Crash Events

0

Fatal Crashes

36

28.6%was 28

Injury Crashes

0

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 19 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash data for Milton indicates an upward trend year-over-year. Total crashes increased by 22.81%, from 171 in 2012 to 210 in 2013. Similarly, total injuries rose by 28.57%, from 28 to 36 during this period, signaling an increase in crash-related incidents and their severity.

When Crashes Happen

The peak day for crashes shifted from Thursday in 2012, with 37 incidents, to Friday in 2013, with 39 incidents. Additionally, the peak hour for crashes changed from 4 PM in 2012, recording 18 incidents, to 12 PM in 2013, with 20 incidents. This indicates a shift in the times and days when crashes are most frequent.

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either 2012 or 2013. However, injury crashes increased by 28.57%, from 28 in 2012 to 36 in 2013. The proportion of injury crashes relative to total crashes also saw a slight increase, from 16.4% in 2012 to 17.1% in 2013.

Outcome by Severity (Crash Events)

Injury36minor injury crashes17.1%
28.6%prior 28
No Injury155no injury crashes73.8%
8.4%prior 143

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring during 'Freezing Precipitation' conditions increased by 50%, from 26 in 2012 to 39 in 2013. Incidents in 'Dark' lighting conditions also rose by 36.96%, from 46 to 63 crashes. Furthermore, crashes on 'Snow' road surfaces increased by 36% (from 25 to 34) and on 'Wet' surfaces by 41.18% (from 17 to 24), indicating a rise in crashes under adverse conditions.

Weather

Clear85 (46.2%)
1.2%prior 84
Cloudy52 (28.3%)
8.3%prior 48
Freezing Precipitation39 (21.2%)
50.0%prior 26
Rain7 (3.8%)
-22.2%prior 9
Wind1 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Weather condition at time of crash

Lighting

Daylight147 (70.0%)
18.5%prior 124
Dark63 (30.0%)
37.0%prior 46

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Lighting condition field

Road Surface

Dry114 (60.3%)
8.6%prior 105
Snow34 (18.0%)
36.0%prior 25
Wet24 (12.7%)
41.2%prior 17
Ice11 (5.8%)
-8.3%prior 12
Slush5 (2.6%)
Water (standing / moving)1 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · 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: 2013-01-01 through 2013-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2013-01-01 through 2013-12-31 (365 days)
  • Geographic scope: Milton, VT
  • Total crash records analyzed: 210

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: 2013." Published July 5, 2026. Reporting period: 2013-01-01 to 2013-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/milton/2013-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 — 2013 | ThatCarHitMe.com