ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · VERMONT, VT · MAY 2014
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/statewide/may-2014-report
Monthly Traffic Safety Analysis
818 CRASHES IN
VERMONT, VT
MAY 2014
In May 2014, there were 818 total crashes, a 21% decrease from the 1,036 crashes recorded in May 2013. This overall reduction in collisions was the most significant year-over-year change. Fatalities also declined, with 2 deaths in May 2014 compared to 5 in the prior year, while the number of injuries remained nearly stable.
818
▼ -21.0%was 1,036
Total Crash Events
2
▼ -60.0%was 5
Fatal Crashes
187
▼ -0.5%was 188
Injury Crashes
2
▼ -60.0%was 5
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 · 2014-05-01 to 2014-05-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for May 2014 indicates a significant downward trend compared to the same month in the previous year. Total collisions fell by 21.0%, from 1,036 to 818. This decline was accompanied by a reduction in fatalities from 5 to 2, though the total number of injuries was nearly unchanged, decreasing by one from 188 to 187.
When Crashes Happen
The temporal patterns of crashes showed some year-over-year shifts, though the afternoon commute remained the peak time. The peak hour for collisions moved from 3 p.m. in May 2013 (105 crashes) to 4 p.m. in May 2014 (84 crashes). Friday was the busiest day for crashes in both periods, accounting for 153 crashes in 2014 and 197 in 2013.
Source: Vermont Crash Data · Arcgis Open Data · 2014-05-01 to 2014-05-31 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2014-05-01 to 2014-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes shifted between the two periods. The number of fatal crashes decreased from 5 to 2, and the corresponding fatality rate was halved from 0.48% to 0.24% of all crashes. While the absolute number of injuries was nearly identical (187 in 2014 vs. 188 in 2013), the proportion of crashes involving an injury increased from 18.1% in May 2013 to 22.9% in May 2014.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2014-05-01 to 2014-05-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2014-05-01 to 2014-05-31 · Most severe injury per crash record
Road & Environmental Conditions
An analysis of crash conditions shows that a greater proportion of collisions in May 2014 occurred on dry roads compared to the previous year. Crashes on dry surfaces accounted for 78.9% of the total in 2014, up from 68.6% in 2013. Conversely, the share of crashes on wet roads decreased from 12.4% to 10.4%. Lighting conditions remained broadly similar, with daylight crashes making up 78.4% of incidents in 2014 versus 80.8% in 2013.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2014-05-01 to 2014-05-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2014-05-01 to 2014-05-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2014-05-01 to 2014-05-31 · 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: 2014-05-01 through 2014-05-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2014-05-01 through 2014-05-31 (31 days)
- Geographic scope: vermont, VT
- Total crash records analyzed: 818
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 2014." Published July 5, 2026. Reporting period: 2014-05-01 to 2014-05-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/may-2014-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: 2014-05-01 – 2014-05-31
Generated: July 5, 2026 · All rights reserved