Yearly Traffic Safety Analysis

197 CRASHES IN
MILTON, VT
2018

All metrics benchmarked against2017

Total crashes in Milton decreased by 23.04%, from 256 in 2017 to 197 in 2018. Notably, there were no fatalities reported in 2018, compared to one fatality in 2017. Despite the overall reduction in crashes, the number of injuries increased from 24 to 31 year-over-year.

197

-23.0%was 256

Total Crash Events

0

-100.0%was 1

Fatal Crashes

31

29.2%was 24

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

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Milton decreased by 23.04%, falling from 256 in 2017 to 197 in 2018. Fatalities saw a significant decline, from 1 in 2017 to 0 in 2018. However, the total number of injuries increased from 24 to 31 during the same period.

When Crashes Happen

The peak day for crashes shifted from Friday in 2017, which had 55 crashes, to Wednesday in 2018, with 41 crashes. Similarly, the peak crash hour moved from 4 p.m. with 24 crashes in 2017 to 5 p.m. with 22 crashes in 2018. Crashes on Friday decreased by 24, from 55 to 31, while crashes on Wednesday increased by 3, from 38 to 41.

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in 2017 to 0 in 2018, resulting in 0 fatalities in the current period compared to 1 in the prior period. Conversely, the total number of injuries increased from 24 in 2017 to 31 in 2018. The proportion of injury crashes increased from 9.4% of total crashes in 2017 to 15.7% in 2018, while the proportion of 'No Injury' crashes also increased from 76.6% to 81.7% during the same period.

Outcome by Severity (Crash Events)

Injury31minor injury crashes15.7%
29.2%prior 24
No Injury161no injury crashes81.7%
-17.9%prior 196

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in Clear weather decreased from 112 in 2017 to 98 in 2018, and those in Freezing Precipitation also fell from 41 to 26. In contrast, crashes during Rain conditions increased from 13 to 16. Crashes on Dry road surfaces decreased from 115 to 99, while crashes on Wet road surfaces increased from 27 to 34.

Weather

Clear98 (52.1%)
-12.5%prior 112
Cloudy47 (25.0%)
0.0%prior 47
Freezing Precipitation26 (13.8%)
-36.6%prior 41
Rain16 (8.5%)
23.1%prior 13
Wind1 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Weather condition at time of crash

Lighting

Daylight146 (74.1%)
-18.9%prior 180
Dark51 (25.9%)
-32.9%prior 76

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Lighting condition field

Road Surface

Dry99 (52.7%)
-13.9%prior 115
Wet34 (18.1%)
25.9%prior 27
Snow29 (15.4%)
-23.7%prior 38
Ice14 (7.4%)
-17.6%prior 17
Slush6 (3.2%)
Water (standing / moving)4 (2.1%)
Other - Explain in Narrative2 (1.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · 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: 2018-01-01 through 2018-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2018-01-01 through 2018-12-31 (365 days)
  • Geographic scope: Milton, VT
  • Total crash records analyzed: 197

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: 2018." Published July 5, 2026. Reporting period: 2018-01-01 to 2018-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/milton/2018-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 — 2018 | ThatCarHitMe.com