Yearly Traffic Safety Analysis

11,649 CRASHES IN
VERMONT, VT
2012

All metrics benchmarked against2011

In 2012, there were 11,649 total crashes, a decrease of approximately 7.9% from the 12,647 crashes recorded in 2011. Despite the overall reduction in collisions, the number of fatalities saw a significant year-over-year increase. Total fatalities rose from 48 in 2011 to 70 in 2012, representing a 45.8% increase.

11,649

▼ -7.9%was 12,647

Total Crash Events

▲ 45.8%was 48

Fatal Crashes

2,264

▼ -3.9%was 2,355

Injury Crashes

▲ 45.8%was 48

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 13 crashes with unreported severity are not shown in the severity breakdown.

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 show a decrease between 2011 and 2012. Total crashes fell by 7.9%, from 12,647 to 11,649. Similarly, the number of people injured declined by 3.9% from 2,355 to 2,264. However, this downward trend did not extend to fatalities, which increased by 45.8% from 48 in 2011 to 70 in 2012.

When Crashes Happen

The temporal patterns of crashes remained largely consistent year-over-year. Friday was the peak day for crashes in both 2012 (2,045 crashes) and 2011 (2,223 crashes). The 3 PM hour was the single busiest hour in both periods, with 1,016 crashes in 2012 and 1,099 in 2011. The overall daily and hourly distributions show similar patterns, with crashes peaking during weekday afternoon commute times in both years.

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

While total crashes decreased, the severity of crashes increased from 2011 to 2012. The number of fatal crashes rose from 48 to 70, and their share of all crashes increased from 0.4% to 0.6%. The proportion of injury-related crashes also saw an increase, rising from 18.6% of all incidents in 2011 to 19.4% in 2012. Consequently, the share of crashes resulting in no injuries fell from 80.9% to 79.9%.

Outcome by Severity (Crash Events)

Fatal70fatal crashes0.6%

↑45.8%prior 48

Injury2,264minor injury crashes19.4%

↓-3.9%prior 2,355

No Injury9,302no injury crashes79.9%

↓-9.1%prior 10,231

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 show a shift toward incidents occurring in clear weather and on dry roads. In 2012, the proportion of crashes on dry road surfaces increased to 65.4% from 58.3% in the prior year, while crashes on wet surfaces decreased as a share of the total from 15.4% to 12.6%. Similarly, crashes in clear weather accounted for 55.3% of the total in 2012, up from 51.3% in 2011. The distribution of crashes by lighting conditions remained stable, with roughly three-quarters of incidents in both years occurring during daylight.

Weather

Clear6,437 (60.2%)

↓-0.8%prior 6,487

Cloudy2,342 (21.9%)

↓-13.4%prior 2,704

Freezing Precipitation1,114 (10.4%)

↓-17.4%prior 1,348

Rain788 (7.4%)

↓-13.8%prior 914

Wind15 (0.1%)

↓-60.5%prior 38

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Weather condition at time of crash

Lighting

Daylight8,820 (76.7%)

↓-8.9%prior 9,677

Dark2,680 (23.3%)

↓-4.0%prior 2,793

Source: Vermont Crash Data · Arcgis Open Data · 2012-01-01 to 2012-12-31 · Lighting condition field

Road Surface

Dry7,624 (70.6%)

↑3.4%prior 7,375

Wet1,469 (13.6%)

↓-24.6%prior 1,949

Snow966 (8.9%)

↓-32.6%prior 1,433

Ice453 (4.2%)

↓-9.6%prior 501

Slush138 (1.3%)

↓-38.4%prior 224

Sand, mud, dirt, oil, gravel90 (0.8%)

↑16.9%prior 77

Water (standing / moving)36 (0.3%)

↓-20.0%prior 45

Other - Explain in Narrative25 (0.2%)

↓-35.9%prior 39

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: vermont, VT
Total crash records analyzed: 11,649

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). "vermont, 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/statewide/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

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11,649 CRASHES INVERMONT, VT2012