Yearly Traffic Safety Analysis

205 CRASHES IN
MIDDLEBURY, VT
2016

All metrics benchmarked against2015

Total crashes in Middlebury decreased by 8.1% from 223 in the prior year to 205 in the current year. Despite this decrease, total fatalities increased by 100%, rising from 1 to 2, marking the most significant year-over-year shift. Total injuries also saw an increase of 44.4%, from 18 to 26.

205

-8.1%was 223

Total Crash Events

2

100.0%was 1

Fatal Crashes

26

44.4%was 18

Injury Crashes

2

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.

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Middlebury experienced a slight downward trend, decreasing by 8.1% from 223 crashes in the prior year to 205 crashes in the current year. However, this decrease in total crashes was accompanied by an increase in severity metrics, with fatalities rising by 100% and injuries by 44.4%.

When Crashes Happen

The peak day for crashes shifted from Friday with 45 crashes in the prior year to Wednesday with 38 crashes in the current year. The peak crash hour also changed, moving from 11 AM with 28 crashes in the prior year to 3 PM with 29 crashes in the current year. Crashes on Thursdays and Fridays decreased significantly, falling by 14 and 17 crashes respectively.

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The proportion of fatal crashes increased from 0.4% (1 crash) in the prior year to 1.0% (2 crashes) in the current year, representing a 100% rise in fatalities. Injury crashes also saw an increase in proportion, from 8.1% (18 crashes) to 12.7% (26 crashes) year-over-year. Conversely, crashes resulting in no injury decreased from 91.5% (204 crashes) to 86.3% (177 crashes).

Outcome by Severity (Crash Events)

Fatal2fatal crashes1%
100.0%prior 1
Injury26minor injury crashes12.7%
44.4%prior 18
No Injury177no injury crashes86.3%
-13.2%prior 204

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in daylight conditions decreased from 193 in the prior year to 168 in the current year, while crashes in dark conditions increased from 28 to 34. The proportion of crashes on dry road surfaces increased from 61.9% to 65.9%, despite a slight decrease in the absolute number of such crashes. Crashes during cloudy weather decreased from 71 to 56, and crashes on wet road surfaces decreased from 33 to 26.

Weather

Clear98 (56.3%)
-6.7%prior 105
Cloudy56 (32.2%)
-21.1%prior 71
Freezing Precipitation12 (6.9%)
-20.0%prior 15
Rain8 (4.6%)
0.0%prior 8

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Weather condition at time of crash

Lighting

Daylight168 (83.2%)
-13.0%prior 193
Dark34 (16.8%)
21.4%prior 28

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · Lighting condition field

Road Surface

Dry135 (76.7%)
-2.2%prior 138
Wet26 (14.8%)
-21.2%prior 33
Snow10 (5.7%)
-37.5%prior 16
Ice5 (2.8%)
0.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2016-01-01 to 2016-12-31 · 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: 2016-01-01 through 2016-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2016-01-01 through 2016-12-31 (366 days)
  • Geographic scope: Middlebury, VT
  • Total crash records analyzed: 205

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). "Middlebury, VT Crash Intelligence Report: 2016." Published July 5, 2026. Reporting period: 2016-01-01 to 2016-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/middlebury/2016-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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Middlebury, VT Crash Report — 2016 | ThatCarHitMe.com