Monthly Traffic Safety Analysis

1,065 CRASHES IN
VERMONT, VT
JANUARY 2010

In January 2010, Vermont recorded 1,065 traffic crashes, resulting in 6 fatalities and 163 injuries. A significant portion of these incidents, over 44%, occurred on roads with snow, ice, or slush. Single-vehicle crashes were the most frequent collision type, accounting for 29.2% of all incidents.

1,065

Total Crash Events

6

Fatal Crashes

163

Injury Crashes

6

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 · 2010-01-01 to 2010-01-31 · Aggregate counts from crash, person, and vehicle records

When Crashes Happen

Crash frequencies peaked on Fridays, which saw 186 incidents, and during the 3 p.m. and 12 p.m. hours, each with 87 crashes. A substantial majority of collisions, 777 out of 1,065 (72.9%), occurred during daylight hours. Conversely, 274 crashes (25.7%) took place in dark conditions.

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

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

Crash Severity Breakdown

The vast majority of crashes resulted in no injuries, with 878 property-damage-only incidents comprising 82.4% of the total. Crashes involving injuries accounted for 15.3% of events, with 163 such incidents reported. There were 6 fatal crashes, representing 0.6% of all collisions and resulting in 6 total fatalities.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.6%
Injury163minor injury crashes15.3%
No Injury878no injury crashes82.4%

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

Road & Environmental Conditions

While 72.9% of crashes occurred in daylight (777 incidents), road and weather conditions were frequently adverse. Crashes on dry roads (339) were outnumbered by those on snowy (314), wet (181), icy (112), or slushy (46) surfaces combined. Similarly, crashes in clear weather (353) were less common than those in cloudy (315) or freezing precipitation (284) conditions.

Weather

Clear353 (35.8%)
Cloudy315 (31.9%)
Freezing Precipitation284 (28.8%)
Rain24 (2.4%)
Wind11 (1.1%)

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

Lighting

Daylight777 (73.9%)
Dark274 (26.1%)

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

Road Surface

Dry339 (33.9%)
Snow314 (31.4%)
Wet181 (18.1%)
Ice112 (11.2%)
Slush46 (4.6%)
Sand, mud, dirt, oil, gravel7 (0.7%)
Other - Explain in Narrative1 (0.1%)
Water (standing / moving)1 (0.1%)

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

Deadliest Highway Corridors

Analysis of crashes on numbered state routes shows that US-7 was the most frequent corridor for incidents, with 109 crashes. It was followed by I-91 with 64 crashes and US-5 with 43 crashes. Together, these three routes accounted for 216 of the 582 crashes occurring on numbered highways, representing 37.1% of that total.

Deadliest Highway Corridors

1
US-7109 (18.7%)
2
I-9164 (11%)
3
US-543 (7.4%)
4
US-240 (6.8%)
5
VT-1535 (6%)
6
VT-931 (5.3%)
7
VT-10030 (5.1%)
8
I-8927 (4.6%)
9
US-416 (2.7%)

Showing top 9 of 50 reported. 41 additional (189 total) not shown: US-302, VT-11, VT-14, VT-30, VT-22A, VT-105, VT-7A, VT-103, VT-2A, VT-104, VT-116, BURLINGTON (ALTERNATE US-7), WEST RUTLAND-RUTLAND (BR US-4), I-93, VT-108, VT-125, VT-17, VT-78, FAS 0136 (VT-143 TH), I-189, VT-36, VT-133, VT-100C, VT-142, VT-279, VT-118, MONTPELIER (BR US-2), VT-10A, VT-207, VT-107, VT-25, VT-4A, VT-66, VT-67, VT-67A, VT-114, VT-117, VT-12, VT-73, VT-62, VT-128.

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

Road Class

Crashes occurred most frequently on state highways, which accounted for 582 incidents (54.6% of the total). Town or local roads saw the second-highest number of crashes with 323 incidents (30.3%). Other public roadways and parking lots were the location for another 141 crashes (13.2%).

Road Class

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

Junction / Location Type

Nearly half of all crashes (514 incidents, or 48.3%) occurred at locations not at a junction. Intersections were also common crash sites, with T-intersections accounting for 150 crashes (14.1%) and four-way intersections for 109 crashes (10.2%). In total, 27.3% of all crashes occurred at a T-intersection, four-way intersection, Y-intersection, or roundabout.

Junction / Location Type

1
Not at a Junction514 (49.1%)
2
T - Intersection150 (14.3%)
3
Parking Lot127 (12.1%)
4
Four-way Intersection109 (10.4%)
5
Driveway44 (4.2%)
6
Other - Explain in Narrative42 (4%)
7
Y - Intersection20 (1.9%)
8
Off Ramp17 (1.6%)
9
Traffic circle / roundabout12 (1.1%)

Showing top 9 of 13 reported. 4 additional (11 total) not shown: Shared-use path or trail, On Ramp, Five-point or more, Railway grade crossing.

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

Vulnerable Users & Heavy Trucks

Among crashes specified as involving certain non-standard vehicle or user types, incidents involving heavy trucks were most common, with 66 recorded. Crashes involving vulnerable road users were less frequent, with 12 involving a pedestrian and 1 involving a bicyclist. These 79 incidents represent 7.4% of all crashes during the period.

Animal-Involved Crashes

During this period, 18 crashes were reported as involving an animal. The majority of these incidents, 15 in total, involved deer. An additional 2 crashes involved a moose, and 1 involved another wild animal, highlighting the types of animal-related collisions occurring on Vermont's roads in January.

Impairment (Alcohol / Drugs)

Impairment was a noted factor in 53 crashes, representing approximately 5.0% of all incidents. Of these, 52 crashes were associated with alcohol, and 1 crash was associated with drug use. These figures represent a minimum count, as impairment may be under-reported in crash data.

Crashes by Town

The highest concentration of crashes occurred in Burlington, with 96 incidents. Brattleboro recorded the second-highest volume with 64 crashes, followed by Colchester with 58 and Rutland City with 56. These top four municipalities collectively accounted for 274 crashes, representing 25.7% of the statewide total.

Crashes by Town

1
Burlington96 (11.1%)
2
Brattleboro64 (7.4%)
3
Colchester58 (6.7%)
4
Rutland City56 (6.5%)
5
South Burlington55 (6.4%)
6
Bennington52 (6%)
7
Essex38 (4.4%)
8
Springfield33 (3.8%)
9
Winooski City30 (3.5%)

Showing top 9 of 50 reported. 41 additional (384 total) not shown: Stowe, Hartford, Middlebury, St. Albans City, Milton, St. Johnsbury, Berlin, Barre Town, Barre City, Montpelier, Windsor, St. Albans Town, Ludlow, Lyndon, Derby, Rutland Town, Hinesburg, Putney, Richmond, Dover, Wilmington, Swanton, Randolph, Charlotte, Newport City, Newbury, Marlboro, Manchester, Rockingham, Brandon, Bradford, Johnson, Westminster, Ferrisburgh, Highgate, Guilford, Benson, Clarendon, Winhall, Norwich, Georgia.

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

Manner of Collision

The most common crash type was a single-vehicle collision, which accounted for 311 incidents or 29.2% of the total. The second most frequent manner of collision was a rear-end crash, with 230 incidents representing 21.6% of all crashes. Together, these two types made up over half of all collisions.

Manner of Collision

"Other" combines 13 smaller categories (112 records): Left Turn and Thru, Angle Broadside -->v-- (35), Left Turn and Thru, Broadside v<-- (19), Rear-to-rear (16), Right Turn and Thru, Same Direction Sideswipe/Angle Crash ^^-- (10), Left Turn and Thru, Head On ^v-- (9), Right Turn and Thru, Broadside ^<-- (6), Left Turn and Thru, Same Direction Sideswipe/Angle Crash vv-- (5), Right Turn, Same Direction, Rear End ^--^-- (4), Left Turns, Same Direction, Rear End v--v-- (2), Right Turn and Thru, Angle Broadside -->^-- (2), Left and Right Turns, Simultaneous Turn Crash --vv-- (2), Right Turn and Thru, Head On v^-- (1), Left Turns, Opposite Directions, Head On/Angle Crash --^v-- (1).

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

Data Coverage

  • Reporting period: 2010-01-01 through 2010-01-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,065

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: January 2010." Published July 5, 2026. Reporting period: 2010-01-01 to 2010-01-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/january-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

ThatCarHitMe.com · An Injuria.ai Company

Vermont (Statewide) Crash Report — January 2010 | ThatCarHitMe.com