Yearly Traffic Safety Analysis

105 CRASHES IN
LYNDON, VT
2013

All metrics benchmarked against2012

In 2013, Lyndon experienced a total of 105 crashes, marking a 28.05% increase from the 82 crashes recorded in 2012. A significant shift was observed in crash outcomes, with one fatality reported in 2013 compared to zero in 2012. Concurrently, total injuries decreased by 56.5% year-over-year.

105

28.0%was 82

Total Crash Events

1

Fatal Crashes

10

-56.5%was 23

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. 32 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the total number of crashes in Lyndon increased by 28.05%, rising from 82 crashes in 2012 to 105 crashes in 2013. This period also saw an increase in fatalities from zero to one, while the total number of injuries decreased by 56.5%, from 23 to 10.

When Crashes Happen

The peak day for crashes remained Sunday in both years, with 22 crashes occurring on Sundays in 2013 compared to 19 in 2012. The peak hour for crashes shifted from 8 PM with 8 crashes in 2012 to 4 PM with 9 crashes in 2013.

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from zero in 2012 to one in 2013. Injury crashes saw a notable decrease, falling from 23 (28% of total crashes) in 2012 to 10 (9.5% of total crashes) in 2013. Conversely, crashes resulting in no injuries increased from 59 to 62, though their proportion of total crashes decreased from 72% to 59%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1%
Injury10minor injury crashes9.5%
-56.5%prior 23
No Injury62no injury crashes59%
5.1%prior 59

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather increased from 42 to 47, while those in cloudy conditions decreased from 17 to 8, and freezing precipitation crashes decreased from 15 to 12. There was an increase in crashes during daylight hours, from 46 to 68, with crashes in dark conditions showing a minor increase from 36 to 37. Crashes on dry, snow, and wet road surfaces each saw slight decreases year-over-year.

Weather

Clear47 (64.4%)
11.9%prior 42
Freezing Precipitation12 (16.4%)
-20.0%prior 15
Cloudy8 (11.0%)
-52.9%prior 17
Rain6 (8.2%)
0.0%prior 6

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Weather condition at time of crash

Lighting

Daylight68 (64.8%)
47.8%prior 46
Dark37 (35.2%)
2.8%prior 36

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · Lighting condition field

Road Surface

Dry42 (58.3%)
-8.7%prior 46
Snow13 (18.1%)
-18.8%prior 16
Wet10 (13.9%)
-9.1%prior 11
Ice5 (6.9%)
0.0%prior 5
Sand, mud, dirt, oil, gravel1 (1.4%)
Slush1 (1.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2013-01-01 to 2013-12-31 · 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: 2013-01-01 through 2013-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2013-01-01 through 2013-12-31 (365 days)
  • Geographic scope: Lyndon, VT
  • Total crash records analyzed: 105

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). "Lyndon, VT Crash Intelligence Report: 2013." Published July 5, 2026. Reporting period: 2013-01-01 to 2013-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/lyndon/2013-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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Lyndon, VT Crash Report — 2013 | ThatCarHitMe.com