ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MARLBORO, VT · 2012
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/marlboro/2012-annual-report
Yearly Traffic Safety Analysis
39 CRASHES IN
MARLBORO, VT
2012
Total crashes decreased slightly from 40 in 2011 to 39 in 2012, representing a 2.5% reduction. The most notable shift was a 71.4% increase in total injuries, rising from 7 in 2011 to 12 in 2012, with the proportion of crashes resulting in injury increasing from 17.5% to 30.8%.
39
▼ -2.5%was 40
Total Crash Events
0
Fatal Crashes
12
▲ 71.4%was 7
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 · 2012-01-01 to 2012-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, total crashes in Marlboro, VT, saw a slight decrease of 2.5%, from 40 incidents in 2011 to 39 in 2012. Despite this reduction in crash volume, total injuries increased significantly by 71.4%, rising from 7 injuries in 2011 to 12 in 2012. Fatalities remained unchanged at zero for both periods.
When Crashes Happen
The temporal patterns of crashes showed shifts between 2011 and 2012. In 2012, Monday became the peak day for crashes with 9 incidents, differing from 2011 where Friday was the peak with 8 incidents. The peak hour also changed, moving from 7 AM with 6 crashes in 2011 to 10 PM with 4 crashes in 2012, indicating a shift in the times crashes were most frequent.
Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes and total fatalities remained constant at zero in both 2011 and 2012. However, the proportion of crashes resulting in injuries significantly increased from 17.5% (7 injuries out of 40 crashes) in 2011 to 30.8% (12 injuries out of 39 crashes) in 2012. This represents a 71.4% year-over-year increase in the total number of injuries.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions showed notable shifts between 2011 and 2012. Crashes occurring in clear weather increased from 14 to 28, while those in freezing precipitation decreased from 13 to 5. Regarding lighting, crashes in daylight decreased from 28 to 19, whereas crashes in dark conditions increased from 12 to 20. On road surfaces, dry road crashes more than doubled from 11 to 26, while ice-related crashes dropped significantly from 15 to 4, and snow-related crashes decreased from 10 to 5.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Road surface condition field
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: 2012-01-01 through 2012-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2012-01-01 through 2012-12-31 (366 days)
- Geographic scope: Marlboro, VT
- Total crash records analyzed: 39
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). "Marlboro, VT Crash Intelligence Report: 2012." Published July 5, 2026. Reporting period: 2012-01-01 to 2012-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/marlboro/2012-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: 2012-01-01 – 2012-12-31
Generated: July 5, 2026 · All rights reserved