Monthly Traffic Safety Analysis

1,313 CRASHES IN
VERMONT, VT
DECEMBER 2010

In December 2010, Vermont recorded 1,313 motor vehicle crashes, resulting in 8 fatalities and 219 injuries. A significant factor during this period was winter conditions, with snowy road surfaces reported in 539 crashes and freezing precipitation cited in 442 incidents.

1,313

Total Crash Events

8

Fatal Crashes

219

Injury Crashes

8

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 14 crashes with unreported severity are not shown in the severity breakdown.

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

When Crashes Happen

Crash occurrences peaked on Wednesday, which saw 249 incidents, while the single busiest hour was 3 p.m. with 121 crashes. A large majority of collisions, 1,018 out of 1,313, happened during daylight hours. The afternoon period between 3 p.m. and 5 p.m. was particularly active, accounting for a combined 338 crashes.

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

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

Crash Severity Breakdown

The vast majority of crashes, 81.6% (1,072 incidents), resulted in no injuries. Crashes involving injuries accounted for 16.7% of the total, or 219 separate incidents. There were 8 fatal crashes recorded during this period, which resulted in 8 total fatalities.

Outcome by Severity (Crash Events)

Fatal8fatal crashes0.6%
Injury219minor injury crashes16.7%
No Injury1,072no injury crashes81.6%

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

Road & Environmental Conditions

Adverse weather and road conditions were prevalent in December crashes. Freezing precipitation was the most frequently noted weather condition, present in 442 crashes, while snowy roads were the most common surface condition, reported in 539 incidents. Despite this, a substantial number of crashes occurred in clear weather (369) and on dry roads (318), with 1,018 crashes (77.5%) taking place in daylight.

Weather

Freezing Precipitation442 (35.2%)
Cloudy375 (29.9%)
Clear369 (29.4%)
Rain49 (3.9%)
Wind19 (1.5%)

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

Lighting

Daylight1,018 (77.6%)
Dark294 (22.4%)

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

Road Surface

Snow539 (42.8%)
Dry318 (25.2%)
Wet242 (19.2%)
Ice96 (7.6%)
Slush58 (4.6%)
Sand, mud, dirt, oil, gravel6 (0.5%)
Other - Explain in Narrative1 (0.1%)

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

Deadliest Highway Corridors

Crashes on major state-numbered highways were concentrated on a few key routes. US-7 was the site of the most incidents with 153 crashes, followed by US-2 with 81 crashes and I-91 with 51. Together, these three corridors accounted for 285 of the 670 crashes reported on state-numbered highways during this period.

Deadliest Highway Corridors

1
US-7153 (21.9%)
2
US-281 (11.6%)
3
I-9151 (7.3%)
4
I-8947 (6.7%)
5
US-544 (6.3%)
6
VT-1539 (5.6%)
7
VT-10028 (4%)
8
US-428 (4%)
9
US-30222 (3.1%)

Showing top 9 of 50 reported. 41 additional (206 total) not shown: VT-30, VT-9, VT-11, VT-116, VT-105, VT-14, VT-2A, VT-103, VT-108, VT-7A, BURLINGTON (ALTERNATE US-7), VT-12, VT-4A, WEST RUTLAND-RUTLAND (BR US-4), VT-207, VT-22A, VT-36, VT-78, VT-117, VT-125, VT-133, I-93, VT-104, VT-25, VT-17, VT-100C, VT-16, VT-110, MONTPELIER (BR US-2), VT-122, VT-10, VT-2B, VT-314, VT-346, FAS 0122 (VT-315 TH), VT-44, VT-67, VT-67A, DERBY (ALTERNATE US-5 = 8318), I-189, VT-10A.

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

Road Class

When classified by road type, state-numbered highways were the location for 670 crashes, making them the most frequent crash location category based on available data. Town or local roads saw the second-highest number of incidents, with 424 crashes recorded. Other public roadways and parking lots accounted for another 165 crashes.

Road Class

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

Junction / Location Type

The most common crash location was not at a junction, with 684 incidents occurring mid-block or on straight sections of road. Intersections were the next most common setting, with a combined 348 crashes at four-way, T-intersections, and other junction types. Crashes in parking lots were also notable, accounting for 150 incidents.

Junction / Location Type

1
Not at a Junction684 (53.1%)
2
T - Intersection176 (13.7%)
3
Parking Lot150 (11.7%)
4
Four-way Intersection133 (10.3%)
5
Other - Explain in Narrative37 (2.9%)
6
Driveway37 (2.9%)
7
Y - Intersection18 (1.4%)
8
Off Ramp17 (1.3%)
9
Traffic circle / roundabout12 (0.9%)

Showing top 9 of 13 reported. 4 additional (23 total) not shown: Shared-use path or trail, On Ramp, Five-point or more, Crossover.

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

Vulnerable Users & Heavy Trucks

Among crashes involving non-passenger vehicles or non-motorists, incidents with heavy trucks were the most frequent, with 67 recorded. Collisions involving vulnerable road users were less common, with 13 crashes involving a pedestrian and 2 involving a bicyclist. Together, these pedestrian and bicycle incidents represent 15 of the total crashes in the period.

Animal-Involved Crashes

Of the 28 crashes reported to involve an animal, deer were by far the most common species, cited in 26 incidents. Collisions involving deer are a known hazard in Vermont. The remaining two crashes involved one domestic animal and one other wild animal.

Impairment (Alcohol / Drugs)

Impairment was a noted factor in 40 crashes during this period. Alcohol was suspected in 38 of these incidents, which represents 2.9% of all crashes. Suspected drug impairment was noted in an additional 2 crashes.

Crashes by Town

The geographic distribution of crashes was concentrated in a few municipalities. The City of Burlington recorded the highest number of incidents with 114, followed by South Burlington with 104 and Rutland City with 70. These three cities alone accounted for 288 crashes, representing 22% of the statewide total for the month.

Crashes by Town

1
Burlington114 (11%)
2
South Burlington104 (10%)
3
Rutland City70 (6.7%)
4
Colchester66 (6.3%)
5
Essex47 (4.5%)
6
Bennington45 (4.3%)
7
Brattleboro40 (3.8%)
8
Milton31 (3%)
9
St. Albans City30 (2.9%)

Showing top 9 of 50 reported. 41 additional (493 total) not shown: Winooski City, Stowe, Williston, Middlebury, Berlin, St. Johnsbury, Hartford, Springfield, Barre City, St. Albans Town, Bradford, Lyndon, Winhall, Shelburne, Barre Town, Wilmington, Johnson, Georgia, Richmond, Castleton, Dover, Montpelier, Chester, Rutland Town, Morristown, Waterbury, Ludlow, Newport City, Hinesburg, Pownal, Derby, Newbury, Sheldon, New Haven, Middlesex, Hardwick, Hyde Park, Guilford, Swanton, Royalton, Wolcott.

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

Manner of Collision

Single-vehicle crashes were the most frequent type of collision, accounting for 382 incidents or 29.1% of the total. The second most common manner of collision was a rear-end crash, with 318 incidents making up 24.2% of all crashes. Together, these two types represent over half of all collisions in the dataset.

Manner of Collision

"Other" combines 12 smaller categories (142 records): Opp Direction Sideswipe (46), Rear-to-rear (31), Left Turn and Thru, Broadside v<-- (24), Right Turn and Thru, Broadside ^<-- (8), Right Turn and Thru, Angle Broadside -->^-- (7), Left Turn and Thru, Same Direction Sideswipe/Angle Crash vv-- (7), Left Turn and Thru, Head On ^v-- (6), Left Turns, Opposite Directions, Head On/Angle Crash --^v-- (4), Right Turn and Thru, Same Direction Sideswipe/Angle Crash ^^-- (4), Left and Right Turns, Simultaneous Turn Crash --vv-- (2), Left Turns, Same Direction, Rear End v--v-- (2), Right Turn and Thru, Head On v^-- (1).

Source: Vermont Crash Data · Arcgis Open Data · 2010-12-01 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: 2010-12-01 through 2010-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2010-12-01 through 2010-12-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,313

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). "vermont, VT Crash Intelligence Report: December 2010." Published July 5, 2026. Reporting period: 2010-12-01 to 2010-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/december-2010-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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Vermont (Statewide) Crash Report — December 2010 | ThatCarHitMe.com