Yearly Traffic Safety Analysis

41 CRASHES IN
DERBY, VT
2018

All metrics benchmarked against2017

In 2018, Derby experienced 41 total crashes, a decrease from 68 crashes in 2017. This represents a substantial 39.7% reduction in overall crash incidents year-over-year. The most significant shift observed is this overall decline in total crashes.

41

-39.7%was 68

Total Crash Events

0

Fatal Crashes

16

-5.9%was 17

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.

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, crash incidents in Derby showed a downward trend from 2017 to 2018. Total crashes decreased by 27, representing a 39.7% reduction year-over-year. This indicates a notable decline in crash frequency.

When Crashes Happen

The temporal distribution of crashes shifted year-over-year. In 2017, the peak day for crashes was Friday with 15 incidents, whereas in 2018, Monday became the peak day with 9 crashes. Similarly, the peak crash hour shifted from 1p with 9 crashes in 2017 to 9a with 8 crashes in 2018, indicating a change in the busiest crash times.

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 remained at zero in both 2017 and 2018. While the absolute number of injury crashes decreased slightly from 17 in 2017 to 16 in 2018, the proportion of crashes resulting in injury increased from 25% of total crashes in 2017 to 39% in 2018. This indicates that a higher percentage of the fewer crashes in 2018 resulted in injuries.

Outcome by Severity (Crash Events)

Injury16minor injury crashes39%
-5.9%prior 17
No Injury25no injury crashes61%
-47.9%prior 48

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

The proportion of crashes occurring in daylight increased from 73.5% in 2017 to 85.4% in 2018, while crashes in dark conditions decreased from 26.5% to 14.6%. Regarding road surface conditions, the proportion of crashes on dry roads slightly decreased from 51.5% in 2017 to 48.8% in 2018, and crashes on icy roads saw a slight increase from 10.3% to 14.6%.

Weather

Clear21 (58.3%)
-36.4%prior 33
Cloudy9 (25.0%)
-40.0%prior 15
Freezing Precipitation5 (13.9%)
-44.4%prior 9
Rain1 (2.8%)

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

Lighting

Daylight35 (85.4%)
-30.0%prior 50
Dark6 (14.6%)
-66.7%prior 18

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

Road Surface

Dry20 (58.8%)
-42.9%prior 35
Ice6 (17.6%)
-14.3%prior 7
Snow5 (14.7%)
-54.5%prior 11
Slush1 (2.9%)
Sand, mud, dirt, oil, gravel1 (2.9%)
Wet1 (2.9%)
-83.3%prior 6

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: Derby, VT
  • Total crash records analyzed: 41

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). "Derby, 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/derby/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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Derby, VT Crash Report — 2018 | ThatCarHitMe.com