Yearly Traffic Safety Analysis

163 CRASHES IN
MILTON, VT
2020

All metrics benchmarked against2019

Milton experienced 163 total crashes in 2020, a slight decrease of 1.21% compared to 165 crashes in 2019. The most significant year-over-year shift was in fatalities, which increased from 0 in 2019 to 2 in 2020.

163

-1.2%was 165

Total Crash Events

2

Fatal Crashes

22

-8.3%was 24

Injury Crashes

2

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 14 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Milton saw a minor decrease of 1.21% from 165 in 2019 to 163 in 2020. However, the number of fatalities increased from 0 in 2019 to 2 in 2020, indicating a concerning trend in crash severity.

When Crashes Happen

The peak day for crashes shifted from Friday in 2019, with 32 crashes, to Tuesday in 2020, with 34 crashes. Similarly, the peak hour for crashes moved from 4 PM in 2019, with 18 crashes, to 3 PM in 2020, with 16 crashes, indicating a change in daily crash patterns.

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in 2019 to 2 in 2020, resulting in a fatal crash rate of 1.23% in 2020 compared to 0% in the prior year. Total injuries decreased from 24 in 2019 to 22 in 2020, with injury crashes representing 13.5% of total crashes in 2020, down from 14.5% in 2019.

Outcome by Severity (Crash Events)

Fatal2fatal crashes1.2%
Injury22minor injury crashes13.5%
-8.3%prior 24
No Injury125no injury crashes76.7%
-5.3%prior 132

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 73 in 2019 to 61 in 2020, while crashes in cloudy conditions significantly dropped from 40 to 13. Crashes on dry road surfaces decreased from 77 in 2019 to 55 in 2020, but crashes on icy roads increased from 7 to 10.

Weather

Clear61 (62.2%)
-16.4%prior 73
Freezing Precipitation17 (17.3%)
-5.6%prior 18
Cloudy13 (13.3%)
-67.5%prior 40
Rain4 (4.1%)
-69.2%prior 13
Wind3 (3.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Weather condition at time of crash

Lighting

Daylight122 (74.8%)
-4.7%prior 128
Dark41 (25.2%)
10.8%prior 37

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Lighting condition field

Road Surface

Dry55 (55.0%)
-28.6%prior 77
Snow20 (20.0%)
-9.1%prior 22
Wet12 (12.0%)
-50.0%prior 24
Ice10 (10.0%)
42.9%prior 7
Other - Explain in Narrative1 (1.0%)
Sand, mud, dirt, oil, gravel1 (1.0%)
Slush1 (1.0%)
-83.3%prior 6

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · 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: 2020-01-01 through 2020-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2020-01-01 through 2020-12-31 (366 days)
  • Geographic scope: Milton, VT
  • Total crash records analyzed: 163

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: 2020." Published July 5, 2026. Reporting period: 2020-01-01 to 2020-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/milton/2020-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 — 2020 | ThatCarHitMe.com