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CRASH INTELLIGENCE REPORT · VERMONT, VT · APRIL 2010
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GET: https://thatcarhitme.com/api/crash-data/reports/data/vermont/statewide/april-2010-report
Monthly Traffic Safety Analysis
754 CRASHES IN
VERMONT, VT
APRIL 2010
In April 2010, Vermont recorded 754 motor vehicle crashes, resulting in 4 fatalities and 150 injuries. A detailed analysis of collision types reveals that rear-end collisions were the most frequent type of crash, accounting for 27.7% of all incidents. Single-vehicle crashes were the second most common, comprising 21.8% of the total.
754
Total Crash Events
4
Fatal Crashes
150
Injury Crashes
4
Fatal Crash Events
Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 16 crashes with unreported severity are not shown in the severity breakdown.
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Aggregate counts from crash, person, and vehicle records
When Crashes Happen
Crash frequency in April 2010 peaked on Thursday with 140 incidents, closely followed by Friday with 137. The most common time for crashes was the 4 p.m. hour, with 72 events, as part of a broader afternoon peak between 1 p.m. and 5 p.m. Correspondingly, a significant majority of crashes, 613 out of 754, occurred during daylight hours.
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes in April 2010, 77.5% (584 incidents), resulted in no injuries. Crashes involving at least one injury accounted for 19.9% (150 incidents) of the total. There were 4 fatal crashes during this period, which resulted in 4 total fatalities.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Most severe injury per crash record
Road & Environmental Conditions
Most crashes occurred in favorable conditions, with 60.3% (455 crashes) happening in clear weather and 81.3% (613 crashes) during daylight hours. Similarly, 74.1% of crashes (559 incidents) took place on dry road surfaces. Adverse conditions were less frequent, with 70 crashes occurring in rain and 122 on wet roads.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Road surface condition field
Deadliest Highway Corridors
US-7 was the corridor with the highest number of crashes, recording 77 incidents in April 2010. Following US-7 were US-2 with 41 crashes and US-5 with 39 crashes. These top three corridors collectively accounted for 157 of the 382 crashes reported on major state-numbered routes.
Deadliest Highway Corridors
Showing top 9 of 50 reported. 41 additional (122 total) not shown: VT-100, VT-7A, VT-2A, VT-105, VT-14, WEST RUTLAND-RUTLAND (BR US-4), VT-12, VT-103, VT-106, VT-30, VT-4A, BURLINGTON (ALTERNATE US-7), VT-107, VT-11, VT-116, VT-131, VT-22A, VT-36, VT-62, VT-67A, VT-114, VT-16, VT-289, VT-104, VT-58, VT-128, VT-133, VT-111, VT-110, VT-314, VT-12A, VT-10A, VT-73, I-189, VT-63, FAS 0136 (VT-143 TH), VT-142, VT-112, VT-125, VT-78, VT-25.
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Crash-level records
Road Class
State-numbered highways accounted for the largest share of crashes, with 382 incidents representing 50.7% of the statewide total. Town or local roads saw the next highest number with 225 crashes. An additional 127 crashes occurred on other public roadways or in parking areas.
Road Class
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Crash-level records
Junction / Location Type
The most common location for crashes was not at an intersection, with 326 incidents occurring along road segments. Intersections were the next most frequent site, with four-way intersections accounting for 92 crashes and T-intersections for 104 crashes. In total, 29.3% of all crashes occurred at some form of junction.
Junction / Location Type
Showing top 9 of 13 reported. 4 additional (12 total) not shown: Five-point or more, Traffic circle / roundabout, Shared-use path or trail, Crossover.
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Crash-level records
Vulnerable Users & Heavy Trucks
Among crashes involving specific non-passenger vehicle types, incidents with heavy trucks were the most frequent, occurring 43 times. Collisions involving vulnerable road users included 9 pedestrian and 7 bicycle incidents. Combined, pedestrian and bicycle crashes represent 16 of the 74 incidents in this specific subset.
Animal-Involved Crashes
In April 2010, there were 13 crashes reported as involving animals. Collisions with deer were the most common, accounting for 6 incidents, followed by 4 incidents involving moose. These animal-related crashes represent a small fraction of the total 754 crashes for the month.
Crashes by Town
The highest volume of crashes occurred in Burlington, with 66 incidents. Rutland City and South Burlington each recorded 58 crashes, followed by Colchester with 46. These top four cities collectively accounted for 228 of the 754 total crashes statewide, representing 30.2% of all incidents.
Crashes by Town
Showing top 9 of 50 reported. 41 additional (289 total) not shown: Winooski City, Middlebury, Hartford, Milton, Springfield, Berlin, Shelburne, Newport City, Montpelier, St. Johnsbury, Stowe, Hardwick, Barre Town, St. Albans Town, Castleton, Derby, Brandon, Norwich, Georgia, Weathersfield, Williston, Northfield, Wallingford, Manchester, Clarendon, Sheldon, Fairfax, Royalton, Waterbury, Bristol, Newbury, Ludlow, Troy, Swanton, Putney, Rockingham, Lyndon, Bethel, Hinesburg, Enosburg, Mendon.
Source: Vermont Crash Data · Arcgis Open Data · 2010-04-01 to 2010-04-30 · Crash-level records
Manner of Collision
Rear-end collisions were the most prevalent type of crash, accounting for 209 incidents, or 27.7% of the total. Single-vehicle crashes were the second most common category, with 164 incidents (21.8%). Same-direction sideswipes followed, representing 11.0% of all collisions.
Manner of Collision
"Other" combines 12 smaller categories (93 records): Left Turn and Thru, Angle Broadside -->v-- (25), Head On (20), Left Turn and Thru, Broadside v<-- (19), Right Turn and Thru, Broadside ^<-- (7), Left Turn and Thru, Same Direction Sideswipe/Angle Crash vv-- (5), Left Turn and Thru, Head On ^v-- (4), Right Turn and Thru, Angle Broadside -->^-- (4), Right Turn and Thru, Same Direction Sideswipe/Angle Crash ^^-- (3), Right Turn, Same Direction, Rear End ^--^-- (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 · 2010-04-01 to 2010-04-30 · 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: 2010-04-01 through 2010-04-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2010-04-01 through 2010-04-30 (30 days)
- Geographic scope: vermont, VT
- Total crash records analyzed: 754
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: April 2010." Published July 5, 2026. Reporting period: 2010-04-01 to 2010-04-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/april-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Vermont Crash Data · Arcgis
Period: 2010-04-01 – 2010-04-30
Generated: July 5, 2026 · All rights reserved