Yearly Traffic Safety Analysis

52 CRASHES IN
SHARON, VT
2015

All metrics benchmarked against2014

Total crashes in Sharon, VT increased by 26.83%, from 41 in 2014 to 52 in 2015. While total crashes rose, the number of crashes involving injuries decreased from 7 to 5. Notably, DUI-related crashes, which accounted for 2 incidents in 2014, were not reported in 2015.

52

26.8%was 41

Total Crash Events

0

Fatal Crashes

5

-28.6%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. 31 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 Sharon, VT increased year-over-year, with total crashes rising by 26.83% from 41 in 2014 to 52 in 2015. Despite this increase in total crashes, the number of reported injuries decreased by 28.57%, from 7 in 2014 to 5 in 2015. Fatalities remained at zero in both years.

When Crashes Happen

The temporal patterns of crashes shifted between 2014 and 2015. The peak day for crashes moved from Thursday, with 10 incidents in 2014, to Tuesday, with 15 incidents in 2015. Similarly, the peak crash hour shifted from 3 PM, which saw 6 crashes in 2014, to 7 PM, with 5 crashes in 2015. The month with the highest crash count also changed from February (12 crashes) in 2014 to January (9 crashes) in 2015.

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

While total crashes increased, the severity profile showed a decrease in injury-related incidents. The number of crashes resulting in injuries decreased from 7 in 2014 to 5 in 2015, reducing their proportion of total crashes from 17.1% to 9.6%. Both years reported zero fatalities and zero fatal crashes.

Outcome by Severity (Crash Events)

Injury5minor injury crashes9.6%
-28.6%prior 7
No Injury16no injury crashes30.8%
6.7%prior 15

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

Crashes occurring in clear weather decreased from 11 in 2014 to 8 in 2015, and those in freezing precipitation decreased from 7 to 4. Conversely, crashes in cloudy conditions doubled from 2 to 4, and new categories like Rain (3 crashes) and Wind (2 crashes) appeared in 2015. Crashes in both daylight and dark conditions increased, with daylight crashes rising from 29 to 34 and dark crashes from 12 to 18.

Weather

Clear8 (38.1%)
-27.3%prior 11
Cloudy4 (19.0%)
Freezing Precipitation4 (19.0%)
-42.9%prior 7
Rain3 (14.3%)
Wind2 (9.5%)

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

Lighting

Daylight34 (65.4%)
17.2%prior 29
Dark18 (34.6%)
50.0%prior 12

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

Road Surface

Dry12 (57.1%)
0.0%prior 12
Snow4 (19.0%)
-33.3%prior 6
Ice2 (9.5%)
Wet2 (9.5%)
Water (standing / moving)1 (4.8%)

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: Sharon, VT
  • Total crash records analyzed: 52

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). "Sharon, 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/sharon/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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Sharon, VT Crash Report — 2015 | ThatCarHitMe.com