Yearly Traffic Safety Analysis

147 CRASHES IN
BERLIN, VT
2010

In 2010, Berlin recorded 147 traffic crashes, which resulted in 23 injuries and zero fatalities. The data indicates that the vast majority of these incidents, 83.7%, resulted in no injuries. Rear-end collisions were the most frequent crash type, accounting for 25.2% of all incidents recorded during the period.

147

Total Crash Events

0

Fatal Crashes

23

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Aggregate counts from crash, person, and vehicle records

When Crashes Happen

Crash frequency in Berlin peaked on Wednesdays, with 26 incidents, and during the 2 p.m. hour, which saw 18 crashes over the year. A significant majority of crashes, 134 out of 147, occurred in daylight conditions. Analysis by month shows a peak in December with 23 crashes, while the summer month of July recorded the fewest incidents at 6.

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 147 total crashes in Berlin during 2010, the majority (83.7%) were property-damage-only incidents with no reported injuries. The remaining 23 crashes, representing 15.6% of the total, involved at least one injury. There were no fatal crashes and no fatalities recorded during this period.

Outcome by Severity (Crash Events)

Injury23minor injury crashes15.6%
No Injury123no injury crashes83.7%

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes occurred under favorable environmental conditions, with 134 incidents (91.2%) happening in daylight and 89 incidents (60.5%) on dry road surfaces. Clear weather was reported for 79 crashes, while 34 occurred under cloudy skies. Adverse road conditions were noted in a smaller portion of incidents, including 22 crashes on wet roads and 13 on snow.

Weather

Clear79 (58.5%)
Cloudy34 (25.2%)
Freezing Precipitation13 (9.6%)
Rain9 (6.7%)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Weather condition at time of crash

Lighting

Daylight134 (91.2%)
Dark13 (8.8%)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Lighting condition field

Road Surface

Dry89 (65.9%)
Wet22 (16.3%)
Snow13 (9.6%)
Slush3 (2.2%)
Water (standing / moving)3 (2.2%)
Ice3 (2.2%)
Sand, mud, dirt, oil, gravel2 (1.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Road surface condition field

Manner of Collision

Rear-end collisions were the most common type of crash, accounting for 37 incidents, or 25.2% of the total. Other frequent collision types included single-vehicle crashes, with 18 incidents (12.2%), and broadside collisions where vehicles were moving straight, with 15 incidents (10.2%). Head-on and sideswipe collisions were less common, each accounting for 6 incidents.

Manner of Collision

"Other" combines 8 smaller categories (19 records): Left Turn and Thru, Angle Broadside -->v-- (5), Left Turn and Thru, Broadside v<-- (4), Rear-to-rear (2), Left Turns, Opposite Directions, Head On/Angle Crash --^v-- (2), Right Turn and Thru, Broadside ^<-- (2), Right Turn and Thru, Same Direction Sideswipe/Angle Crash ^^-- (2), Right Turn and Thru, Angle Broadside -->^-- (1), Left Turn and Thru, Head On ^v-- (1).

Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records

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: 2010-01-01 through 2010-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2010-01-01 through 2010-12-31 (365 days)
  • Geographic scope: Berlin, VT
  • Total crash records analyzed: 147

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: 2010." Published July 5, 2026. Reporting period: 2010-01-01 to 2010-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/berlin/2010-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 — 2010 | ThatCarHitMe.com