Yearly Traffic Safety Analysis

46 CRASHES IN
WATERFORD, VT
2016

All metrics benchmarked against2015

In 2016, Waterford recorded 46 traffic crashes, a 23.3% decrease from the 60 crashes reported in 2015. While total injuries saw a slight decrease from 7 to 6, the most significant year-over-year change was the overall reduction in crash frequency. No fatal crashes occurred in either period.

46

▼ -23.3%was 60

Total Crash Events

0

Fatal Crashes

6

▼ -14.3%was 7

Injury Crashes

0

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 22 crashes with unreported severity are not shown in the severity breakdown.

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

Trend Summary

Traffic crashes in Waterford decreased by 23.3% year-over-year, from 60 incidents in 2015 to 46 in 2016. The number of people injured in these crashes also saw a slight decline, falling from 7 to 6 over the same period. Crashes involving a suspected DUI driver also fell from 4 to 3.

When Crashes Happen

The temporal patterns of crashes shifted between 2015 and 2016. The day with the most crashes changed from Sunday (14 crashes) in 2015 to Tuesday (9 crashes) in 2016. Similarly, the peak hour for incidents moved from 5 p.m. in the prior year (8 crashes) to the hours of 8 p.m. and 9 p.m. in the current year, each with 5 crashes.

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

No fatal crashes were reported in Waterford during either 2015 or 2016. The number of crashes resulting in an injury decreased from 7 in 2015 to 6 in 2016. However, as a proportion of all crashes, injury-involved incidents slightly increased from 11.7% in the prior year to 13.0% in the current year.

Outcome by Severity (Crash Events)

Injury6minor injury crashes13%
↓-14.3%prior 7
No Injury18no injury crashes39.1%
↓-33.3%prior 27

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

In both 2015 and 2016, most crashes occurred on dry roads under clear or cloudy weather. There was a notable shift in lighting conditions between the two periods. While the absolute number of crashes in the dark remained constant at 22, their share of total incidents increased from 36.7% in 2015 to 47.8% in 2016.

Weather

Clear15 (62.5%)
↓-16.7%prior 18
Cloudy6 (25.0%)
↑20.0%prior 5
Freezing Precipitation2 (8.3%)
Rain1 (4.2%)
↓-83.3%prior 6

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

Lighting

Daylight24 (52.2%)
↓-36.8%prior 38
Dark22 (47.8%)
→0.0%prior 22

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

Road Surface

Dry14 (60.9%)
↓-26.3%prior 19
Snow3 (13.0%)
Wet3 (13.0%)
↓-62.5%prior 8
Ice2 (8.7%)
Sand, mud, dirt, oil, gravel1 (4.3%)

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: Waterford, VT
  • Total crash records analyzed: 46

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). "Waterford, 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/waterford/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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Waterford, VT Crash Report — 2016 | ThatCarHitMe.com