Yearly Traffic Safety Analysis

74 CRASHES IN
RANDOLPH, VT
2015

All metrics benchmarked against2014

Total crashes in Randolph decreased from 86 in 2014 to 74 in 2015, representing a 13.95% reduction. The most significant change was the absence of traffic fatalities in 2015, compared to 1 fatality in 2014.

74

-14.0%was 86

Total Crash Events

0

-100.0%was 1

Fatal Crashes

11

-26.7%was 15

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

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Randolph saw a notable decline from 2014 to 2015, with total crashes decreasing by 13.95%, from 86 to 74. This period also observed a 26.67% reduction in total injuries, falling from 15 to 11. Most significantly, there were no traffic fatalities recorded in 2015, a 100% decrease from the 1 fatality reported in 2014.

When Crashes Happen

Temporal patterns for crashes showed shifts year-over-year. The peak day for crashes moved from Friday in 2014, with 27 incidents, to Saturday and Wednesday in 2015, each with 12 incidents. Similarly, the peak hour for crashes shifted from 12 p.m. in 2014, with 8 crashes, to 10 a.m. in 2015, with 7 crashes.

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes improved from 2014 to 2015, with no fatal crashes reported in 2015 compared to 1 fatal crash (1.2% of total crashes) in 2014. Injury crashes also decreased in number from 15 (17.4%) in 2014 to 11 (14.9%) in 2015. The proportion of crashes resulting in no injury also saw a decrease, from 46.5% (40 crashes) in 2014 to 32.4% (24 crashes) in 2015.

Outcome by Severity (Crash Events)

Injury11minor injury crashes14.9%
-26.7%prior 15
No Injury24no injury crashes32.4%
-40.0%prior 40

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Analysis of crash conditions reveals several shifts between 2014 and 2015. Crashes occurring in Freezing Precipitation conditions increased from 3 in 2014 to 9 in 2015, while crashes in Clear weather decreased from 33 to 19. Regarding lighting, crashes occurring in Dark conditions decreased from 30 in 2014 to 16 in 2015. For road surface conditions, crashes on Dry surfaces decreased from 32 to 16, while crashes on Snow-covered roads increased from 4 to 7.

Weather

Clear19 (57.6%)
-42.4%prior 33
Freezing Precipitation9 (27.3%)
Rain3 (9.1%)
-57.1%prior 7
Cloudy2 (6.1%)
-75.0%prior 8

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash

Lighting

Daylight58 (78.4%)
3.6%prior 56
Dark16 (21.6%)
-46.7%prior 30

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field

Road Surface

Dry16 (48.5%)
-50.0%prior 32
Snow7 (21.2%)
Wet3 (9.1%)
-66.7%prior 9
Sand, mud, dirt, oil, gravel2 (6.1%)
Slush2 (6.1%)
Ice2 (6.1%)
-60.0%prior 5
Other - Explain in Narrative1 (3.0%)

Source: Vermont Crash Data · Arcgis Open Data · 2015-01-01 to 2015-12-31 · 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: 2015-01-01 through 2015-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2015-01-01 through 2015-12-31 (365 days)
  • Geographic scope: Randolph, 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). "Randolph, VT Crash Intelligence Report: 2015." Published July 5, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/randolph/2015-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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Randolph, VT Crash Report — 2015 | ThatCarHitMe.com