ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · MONTPELIER, VT · 2010
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/vermont/montpelier/2010-annual-report
Yearly Traffic Safety Analysis
114 CRASHES IN
MONTPELIER, VT
2010
In 2010, Montpelier, VT recorded a total of 114 crashes, resulting in 1 fatality and 26 injuries. The most frequent collision type was rear-end, accounting for 36% of all crashes. The majority of crashes, 75.4%, did not involve injuries.
114
Total Crash Events
1
Fatal Crashes
26
Injury Crashes
1
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
Crashes in 2010 peaked on Fridays, with 29 incidents recorded, and the peak hour for crashes was 4 p.m., with 12 occurrences. A significant majority of crashes, 95 out of 114, occurred during daylight hours. Only 19 crashes took place during dark conditions.
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
The majority of crashes in 2010, 75.4%, resulted in no injuries, while 22.8% involved injuries. There was 1 fatal crash recorded during this period. It is important to note that this single fatal crash resulted in 1 fatality.
Outcome by Severity (Crash Events)
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
Most crashes in 2010 occurred under clear weather conditions, accounting for 64 incidents, and on dry road surfaces, with 78 crashes. Daylight was the predominant lighting condition, with 95 crashes occurring during the day. Adverse conditions such as rain (10 crashes), wet roads (22 crashes), and dark lighting (19 crashes) also contributed to incidents.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Road surface condition field
Deadliest Highway Corridors
US-2 was the corridor with the highest number of crashes, accounting for 35 incidents. The MONTPELIER (BR US-2) segment followed with 13 crashes, and VT-12 had 6 crashes. These three corridors collectively accounted for 54 crashes.
Deadliest Highway Corridors
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Road Class
The highest number of crashes, 29, occurred on Town or Local Roads. Another 18 crashes were recorded on Other Public Roadway / Parking areas. This indicates that local roads and public parking areas were significant locations for crashes.
Road Class
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Junction / Location Type
The majority of crashes, 57, occurred not at a junction. Intersections were also significant locations, with 21 crashes at T-intersections and 11 crashes at four-way intersections. Overall, crashes at T-intersections, four-way intersections, Y-intersections, and traffic circles/roundabouts combined accounted for 35 crashes.
Junction / Location Type
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Vulnerable Users & Heavy Trucks
Crashes involving heavy trucks were the most common among non-standard road users, with 14 incidents. Motorcycle-involved crashes accounted for 4 incidents. Pedestrian-involved crashes totaled 3, making the combined pedestrian and bicycle (vulnerable user) share 3 crashes.
Manner of Collision
Rear-end collisions were the most frequent manner of collision, accounting for 41 crashes or 36% of the total. Same direction sideswipes were the second most common, with 16 incidents or 14%. Single vehicle crashes also represented a notable portion, with 11 incidents or 9.6%.
Manner of Collision
"Other" combines 7 smaller categories (18 records): Rear-to-rear (5), Head On (4), Opp Direction Sideswipe (4), Right Turn and Thru, Broadside ^<-- (2), Left and Right Turns, Simultaneous Turn Crash --vv-- (1), Right Turn and Thru, Angle Broadside -->^-- (1), Left Turn and Thru, Same Direction Sideswipe/Angle Crash vv-- (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: Montpelier, VT
- Total crash records analyzed: 114
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). "Montpelier, 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/montpelier/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Vermont Crash Data · Arcgis
Period: 2010-01-01 – 2010-12-31
Generated: July 5, 2026 · All rights reserved