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CRASH INTELLIGENCE REPORT · BARRE CITY, 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/barre-city/2010-annual-report
Yearly Traffic Safety Analysis
181 CRASHES IN
BARRE CITY, VT
2010
Total crashes in Barre City in 2010 were 181, resulting in 0 fatalities and 28 injuries. A notable 84.5% of these crashes involved no injuries, indicating a predominance of less severe incidents.
181
Total Crash Events
0
Fatal Crashes
28
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.
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 Barre City in 2010 peaked on Fridays with 34 incidents and at 4 PM with 24 incidents. The majority of crashes, 153 out of 181, occurred during daylight hours, while 28 crashes occurred in 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
Of the 181 crashes in Barre City in 2010, 28 (15.5%) resulted in injuries, while 153 (84.5%) were classified as no-injury crashes. There were 0 fatal crashes and 0 total fatalities reported for the period.
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
The majority of crashes occurred under clear weather conditions (96 incidents), on dry road surfaces (122 incidents), and during daylight (153 incidents). Adverse conditions also contributed to crashes, with 39 occurring in cloudy weather, 25 on wet roads, and 28 in dark conditions.
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
The corridors with the highest number of reported crashes were US-302 with 65 crashes, VT-14 with 41 crashes, and VT-62 with 8 crashes. These three corridors collectively accounted for 114 of the 181 total crashes.
Deadliest Highway Corridors
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Road Class
The dominant road class for crashes was Town or Local Road, accounting for 58 incidents. Another 9 crashes occurred on Other Public Roadway / Parking.
Road Class
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Junction / Location Type
Most crashes occurred "Not at a Junction," accounting for 85 incidents. Intersections, including four-way (41) and T-intersections (27), collectively accounted for 73 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
Among crashes involving non-standard road users, heavy trucks were the most common, involved in 11 incidents. Pedestrians were involved in 3 crashes, and bicycles in 2 crashes, totaling 5 crashes involving vulnerable users.
Manner of Collision
The most frequent manner of collision was Rear End, accounting for 55 crashes or 30.4% of the total. "No Turns, Thru moves only, Broadside ^<" was the second most common, with 42 crashes or 23.2%.
Manner of Collision
"Other" combines 7 smaller categories (13 records): Left Turn and Thru, Broadside v<-- (3), Left Turn and Thru, Same Direction Sideswipe/Angle Crash vv-- (2), Opp Direction Sideswipe (2), Right Turn and Thru, Broadside ^<-- (2), Right Turn and Thru, Same Direction Sideswipe/Angle Crash ^^-- (2), Right Turn and Thru, Angle Broadside -->^-- (1), Rear-to-rear (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: Barre City, VT
- Total crash records analyzed: 181
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). "Barre City, 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/barre-city/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