Monthly Traffic Safety Analysis

1,036 CRASHES IN
VERMONT, VT
MAY 2013

All metrics benchmarked againstMay 2012

In May 2013, Vermont recorded 1,036 total traffic crashes, an increase of 12.1% from the 924 crashes documented in May 2012. Despite the rise in total collisions, the number of fatalities decreased from 8 in the prior year period to 5 in the current period. This represents a 37.5% reduction in traffic-related deaths year-over-year.

1,036

12.1%was 924

Total Crash Events

5

-37.5%was 8

Fatal Crashes

188

-0.5%was 189

Injury Crashes

5

-37.5%was 8

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 112 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year data for May indicates a rising trend in the total number of crashes, with a 12.1% increase from 924 incidents in 2012 to 1,036 in 2013. However, the outcomes of these crashes became less severe. The total number of injuries remained stable, decreasing by one from 189 to 188, while fatalities fell from 8 to 5.

When Crashes Happen

The temporal patterns of crashes shifted between May 2012 and May 2013. The peak day for collisions moved from Wednesday (169 crashes) in the prior year to Friday (197 crashes) in the current year. While the peak hour for crashes remained consistent at 3 PM in both periods, the number of incidents during that hour increased from 98 to 105. Crashes on Fridays and Saturdays increased notably, rising from 137 to 197 and 97 to 128, respectively.

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes decreased in May 2013 compared to the same month in 2012, despite an overall increase in crash volume. The number of fatal crashes fell from 8 to 5, and the fatal crash rate per 100 crashes dropped from 0.87 to 0.48. While the absolute number of injuries remained nearly unchanged (189 vs. 188), the proportion of crashes resulting in an injury decreased from 20.5% in May 2012 to 18.1% in May 2013.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.5%
-37.5%prior 8
Injury188minor injury crashes18.1%
-0.5%prior 189
No Injury731no injury crashes70.6%
0.6%prior 727

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of crashes across environmental conditions remained broadly similar year-over-year, with most incidents in both periods occurring in daylight on dry roads. In May 2013, 80.8% of crashes occurred during daylight, compared to 81.3% in May 2012. Crashes on dry road surfaces accounted for 68.6% of the total in the current period, down from a 75.4% share in the prior period. The number of crashes in clear weather increased from 555 to 579, while those in rainy conditions decreased from 103 to 98.

Weather

Clear579 (68.1%)
4.3%prior 555
Cloudy172 (20.2%)
-8.0%prior 187
Rain98 (11.5%)
-4.9%prior 103
Freezing Precipitation1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · Weather condition at time of crash

Lighting

Daylight837 (81.7%)
11.5%prior 751
Dark188 (18.3%)
19.0%prior 158

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · Lighting condition field

Road Surface

Dry711 (83.6%)
2.0%prior 697
Wet128 (15.1%)
-7.9%prior 139
Water (standing / moving)5 (0.6%)
Sand, mud, dirt, oil, gravel4 (0.5%)
-20.0%prior 5
Other - Explain in Narrative1 (0.1%)
Snow1 (0.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2013-05-01 to 2013-05-31 · 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: 2013-05-01 through 2013-05-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2013-05-01 through 2013-05-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,036

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: May 2013." Published July 5, 2026. Reporting period: 2013-05-01 to 2013-05-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/may-2013-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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Vermont (Statewide) Crash Report — May 2013 | ThatCarHitMe.com