Yearly Traffic Safety Analysis

86 CRASHES IN
BERLIN, VT
2014

All metrics benchmarked against2013

Total crashes in Berlin, VT decreased by 48.19%, falling from 166 crashes in 2013 to 86 crashes in 2014. A significant positive shift was the elimination of fatalities in 2014, with 0 recorded compared to 1 fatality in 2013.

86

-48.2%was 166

Total Crash Events

0

-100.0%was 1

Fatal Crashes

22

15.8%was 19

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

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, Berlin, VT experienced a significant decline in crash incidents year-over-year. Total crashes decreased by 48.19%, falling from 166 crashes in 2013 to 86 crashes in 2014.

When Crashes Happen

The peak day for crashes shifted from Monday in 2013 (36 crashes) to Friday in 2014 (25 crashes). Similarly, the peak crash hour moved from 5 PM in 2013 (22 crashes) to 4 PM in 2014 (11 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities were eliminated in 2014, with 0 recorded compared to 1 fatality in 2013. While total injuries increased from 19 in 2013 to 22 in 2014, the proportion of injury crashes relative to total crashes increased from 11.4% in 2013 to 25.6% in 2014.

Outcome by Severity (Crash Events)

Injury22minor injury crashes25.6%
15.8%prior 19
No Injury46no injury crashes53.5%
-57.8%prior 109

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Regarding weather, crashes in Clear conditions decreased from 57 in 2013 to 43 in 2014, and Rain-related crashes dropped significantly from 17 to 1. The proportion of crashes on Dry road surfaces increased from 34.3% in 2013 to 40.7% in 2014, despite the absolute count decreasing from 57 to 35. Notably, the proportion of crashes on Ice surfaces increased from 5.4% (9 crashes) in 2013 to 14.0% (12 crashes) in 2014, while Wet surface crashes saw their proportion decrease from 16.9% (28 crashes) to 4.7% (4 crashes).

Weather

Clear43 (68.3%)
-24.6%prior 57
Freezing Precipitation10 (15.9%)
-47.4%prior 19
Cloudy9 (14.3%)
-57.1%prior 21
Rain1 (1.6%)
-94.1%prior 17

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Weather condition at time of crash

Lighting

Daylight67 (77.9%)
-47.2%prior 127
Dark19 (22.1%)
-48.6%prior 37

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Lighting condition field

Road Surface

Dry35 (56.5%)
-38.6%prior 57
Ice12 (19.4%)
33.3%prior 9
Snow10 (16.1%)
-41.2%prior 17
Wet4 (6.5%)
-85.7%prior 28
Water (standing / moving)1 (1.6%)
-80.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · 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: 2014-01-01 through 2014-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-01-01 through 2014-12-31 (365 days)
  • Geographic scope: Berlin, VT
  • Total crash records analyzed: 86

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). "Berlin, VT Crash Intelligence Report: 2014." Published July 5, 2026. Reporting period: 2014-01-01 to 2014-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/berlin/2014-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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Berlin, VT Crash Report — 2014 | ThatCarHitMe.com