ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MARSHFIELD, 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/marshfield/2012-annual-report
Yearly Traffic Safety Analysis
19 CRASHES IN
MARSHFIELD, VT
2012
In 2012, Marshfield experienced 19 total crashes, an increase from 15 crashes in 2011, representing a 26.7% rise year-over-year. The most significant shift was in total fatalities, which quadrupled from 1 in 2011 to 4 in 2012. DUI crashes also saw a substantial increase, climbing from 1 in 2011 to 4 in 2012.
19
▲ 26.7%was 15
Total Crash Events
4
▲ 300.0%was 1
Fatal Crashes
8
▲ 33.3%was 6
Injury Crashes
4
▲ 300.0%was 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 · 2012-01-01 to 2012-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends indicate an increase in 2012 compared to the prior year. Total crashes rose by 26.7%, from 15 in 2011 to 19 in 2012. Fatalities saw a substantial 300% increase, climbing from 1 in 2011 to 4 in 2012, while total injuries increased by 33.3%, from 6 to 8.
When Crashes Happen
The peak day for crashes shifted from Tuesday, which had 5 crashes in 2011, to Sunday, which recorded 7 crashes in 2012. Similarly, the peak hour changed from 10 PM with 2 crashes in 2011 to 4 PM with 3 crashes in 2012. Notably, Friday experienced 0 crashes in 2011 but recorded 4 crashes in 2012, while Wednesday saw a decrease from 1 crash in 2011 to 0 in 2012.
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
The distribution of crash severity shifted significantly, with fatal crashes increasing from 1 (6.7% of total) in 2011 to 4 (21.1% of total) in 2012. Injury crashes increased in count from 6 to 8, with their proportion slightly rising from 40% to 42.1% of all crashes. Conversely, crashes resulting in no injuries decreased in proportion from 53.3% in 2011 to 36.8% in 2012, despite a minor count decrease from 8 to 7.
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
There was a notable shift in lighting conditions, with crashes occurring in Daylight increasing from 6 in 2011 to 15 in 2012, while crashes in Dark conditions decreased from 9 to 4. Crashes in Clear weather conditions increased from 8 in 2011 to 12 in 2012, while those in Freezing Precipitation decreased from 3 to 1. On road surfaces, dry condition crashes rose from 11 to 15, and ice-related crashes (2 in 2011) were no longer observed in 2012, replaced by 1 crash each on "Sand, mud, dirt, oil, gravel" and "Wet" surfaces.
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: Marshfield, VT
- Total crash records analyzed: 19
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). "Marshfield, 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/marshfield/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