ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · MANCHESTER, 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/manchester/2010-annual-report
Yearly Traffic Safety Analysis
53 CRASHES IN
MANCHESTER, VT
2010
In Manchester, VT, during 2010, a total of 53 crashes were recorded, resulting in 1 fatality and 12 injuries. The most frequent collision type was rear-end crashes, which accounted for 17 incidents or 32.1% of all crashes. Notably, 4 crashes were identified as involving driving under the influence.
53
Total Crash Events
1
Fatal Crashes
12
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.
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 Manchester, VT, in 2010 exhibited clear temporal patterns. The highest number of crashes, 17, occurred on Fridays, making it the peak day of the week. The peak hour for crashes was 1 PM, with 8 incidents reported. A significant majority of crashes, 41 out of 53, happened during daylight hours, while 12 occurred in the dark.
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 crash data for 2010 shows that 40 crashes (75.5%) resulted in no injuries, categorized as property damage only. Injury crashes accounted for 12 incidents, representing 22.6% of the total. There was 1 fatal crash recorded, which resulted in 1 fatality, indicating that in this period, the number of fatal crashes matched the number of persons killed.
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
A majority of crashes in 2010 occurred under favorable environmental conditions. Specifically, 27 crashes happened during clear weather, 28 on dry road surfaces, and 41 in daylight. However, adverse conditions also contributed to incidents, with 9 crashes occurring during freezing precipitation, 12 on wet roads, and 12 in the dark.
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 primary corridors for crashes in 2010 were state highways, with VT-7A experiencing 20 incidents and VT-11 having 13. US-7 and VT-30 also saw crashes, with 3 and 1 respectively. These four state-numbered routes accounted for 37 crashes, representing approximately 69.8% of all reported incidents.
Deadliest Highway Corridors
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Road Class
Regarding road classification, 37 crashes occurred on state highways (VT-7A, VT-11, US-7, VT-30). Town or Local Roads accounted for 10 crashes, and 6 crashes occurred on Other Public Roadway / Parking. This indicates that state highways were the predominant location for crashes in Manchester, VT during 2010.
Road Class
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Junction / Location Type
A significant portion of crashes in 2010 occurred away from junctions, with 27 incidents reported as 'Not at a Junction'. Intersections, including T-intersections (8 crashes), Y-intersections (3 crashes), four-way intersections (1 crash), and traffic circles/roundabouts (1 crash), collectively accounted for 13 crashes. This means approximately 24.5% of crashes occurred at intersections.
Junction / Location Type
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Manner of Collision
The most common manner of collision was 'Rear End', accounting for 17 crashes, or 32.1% of all incidents. 'Single Vehicle Crash' was the second most frequent type, with 9 incidents representing 17% of the total. Other collision types, such as 'Head On' and 'Same Direction Sideswipe', each contributed to a smaller number of crashes.
Manner of Collision
"Other" combines 5 smaller categories (7 records): No Turns, Thru moves only, Broadside ^< (2), Left Turn and Thru, Broadside v<-- (2), Left Turn and Thru, Head On ^v-- (1), Left Turn and Thru, Angle Broadside -->v-- (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: Manchester, VT
- Total crash records analyzed: 53
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). "Manchester, 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/manchester/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