Yearly Traffic Safety Analysis

74 CRASHES IN
MIDDLESEX, VT
2019

All metrics benchmarked against2018

Total crashes in Middlesex increased from 42 in 2018 to 74 in 2019, marking a 76.2% rise year-over-year. Despite this overall increase in incidents, the most significant year-over-year shift was the complete elimination of fatalities, dropping from 1 in 2018 to 0 in 2019.

74

76.2%was 42

Total Crash Events

0

-100.0%was 1

Fatal Crashes

9

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. 47 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 incidents in Middlesex increased significantly year-over-year, rising from 42 crashes in 2018 to 74 crashes in 2019. This represents a substantial 76.2% increase in total crashes, indicating a clear upward trend in incident volume.

When Crashes Happen

The peak day for crashes shifted from Thursday in 2018, which saw 11 incidents, to Tuesday in 2019, which recorded 21 crashes. Similarly, the peak crash hour moved from 7 AM in 2018 with 5 crashes to 11 AM in 2019 with 7 crashes, indicating a change in the timing of peak incident frequency.

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

Fatalities were completely eliminated in 2019, with 0 reported compared to 1 fatality in 2018, resulting in the fatal crash rate decreasing from 2.38% to 0%. While the total number of injuries remained constant at 9 for both years, the proportion of injury crashes relative to total crashes decreased from 21.4% in 2018 to 12.2% in 2019 due to the overall increase in crash volume.

Outcome by Severity (Crash Events)

Injury9minor injury crashes12.2%
0.0%prior 9
No Injury18no injury crashes24.3%
5.9%prior 17

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

Crashes occurring in 'Freezing Precipitation' weather conditions more than doubled, increasing from 3 in 2018 to 7 in 2019. Additionally, crashes on 'Ice' road surfaces doubled from 2 in 2018 to 4 in 2019, while crashes on 'Dry' road surfaces slightly decreased from 15 to 14. The number of crashes occurring in 'Daylight' conditions increased from 26 to 47, and in 'Dark' conditions from 16 to 27, with the proportion of crashes in daylight conditions slightly rising from 61.9% to 63.5%.

Weather

Clear15 (60.0%)
7.1%prior 14
Freezing Precipitation7 (28.0%)
Cloudy2 (8.0%)
Rain1 (4.0%)

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

Lighting

Daylight47 (63.5%)
80.8%prior 26
Dark27 (36.5%)
68.8%prior 16

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

Road Surface

Dry14 (51.9%)
-6.7%prior 15
Snow4 (14.8%)
Ice4 (14.8%)
Slush2 (7.4%)
Wet2 (7.4%)
Sand, mud, dirt, oil, gravel1 (3.7%)

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: Middlesex, VT
  • Total crash records analyzed: 74

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). "Middlesex, 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/middlesex/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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Middlesex, VT Crash Report — 2019 | ThatCarHitMe.com