Yearly Traffic Safety Analysis

27 CRASHES IN
MARLBORO, VT
2019

All metrics benchmarked against2018

In 2019, Marlboro experienced 27 total crashes, a 3.85% increase from the 26 crashes recorded in 2018. Despite this slight rise in total incidents, there was a significant improvement in crash outcomes. Fatalities decreased from 1 in 2018 to 0 in 2019, and total injuries fell by 58.33% from 12 to 5.

27

3.8%was 26

Total Crash Events

0

-100.0%was 1

Fatal Crashes

5

-58.3%was 12

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

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash frequency in Marlboro remained relatively stable year-over-year, with a minor 3.85% increase from 26 crashes in 2018 to 27 crashes in 2019. However, crash severity notably decreased, as total fatalities dropped from 1 in 2018 to 0 in 2019. Additionally, the number of total injuries decreased by 58.33%, from 12 in 2018 to 5 in 2019.

When Crashes Happen

The temporal distribution of crashes shifted between 2018 and 2019. While both years recorded 7 crashes on their respective peak days, the peak day moved from Thursday in 2018 to Tuesday in 2019. The peak hour also shifted, with 2019 seeing the most crashes at 3 PM (4 crashes), compared to 8 PM (3 crashes) in 2018. Notably, crashes on Tuesdays increased from 4 to 7, and crashes on Saturdays rose from 1 to 5 year-over-year, while crashes on Thursdays decreased from 7 to 4.

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity significantly improved from 2018 to 2019. The number of fatal crashes decreased from 1 in 2018 to 0 in 2019, resulting in zero fatalities in 2019 compared to 1 fatality in 2018. Crashes resulting in injuries also saw a substantial reduction, dropping from 12 incidents (46.2% of total crashes) in 2018 to 5 incidents (18.5% of total crashes) in 2019. This indicates a positive trend towards less severe crash outcomes.

Outcome by Severity (Crash Events)

Injury5minor injury crashes18.5%
-58.3%prior 12
No Injury7no injury crashes25.9%
-12.5%prior 8

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Analysis of crash conditions reveals some shifts year-over-year. Crashes occurring in Clear weather conditions decreased from 17 in 2018 to 8 in 2019, while those in Freezing Precipitation also dropped from 4 to 2. There was a notable increase in crashes during Daylight conditions, rising from 15 in 2018 to 20 in 2019, while crashes in Dark conditions decreased from 11 to 7. Regarding road surface, crashes on Dry surfaces decreased from 10 to 7, and those on Snow decreased from 5 to 2, while crashes on Wet surfaces slightly increased from 2 to 3.

Weather

Clear8 (72.7%)
-52.9%prior 17
Freezing Precipitation2 (18.2%)
Cloudy1 (9.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Weather condition at time of crash

Lighting

Daylight20 (74.1%)
33.3%prior 15
Dark7 (25.9%)
-36.4%prior 11

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Lighting condition field

Road Surface

Dry7 (58.3%)
-30.0%prior 10
Wet3 (25.0%)
Snow2 (16.7%)
-60.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · 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: 2019-01-01 through 2019-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2019-01-01 through 2019-12-31 (365 days)
  • Geographic scope: Marlboro, VT
  • Total crash records analyzed: 27

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). "Marlboro, VT Crash Intelligence Report: 2019." Published July 5, 2026. Reporting period: 2019-01-01 to 2019-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/marlboro/2019-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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Marlboro, VT Crash Report — 2019 | ThatCarHitMe.com