ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WEST HAVEN, VT · 2023
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/west-haven/2023-annual-report
Yearly Traffic Safety Analysis
2 CRASHES IN
WEST HAVEN, VT
2023
Total crashes in West Haven decreased by 66.67% year-over-year, from 6 crashes in 2022 to 2 crashes in 2023. This significant reduction in crash incidents was accompanied by a decrease in total injuries, which fell from 3 in 2022 to 0 in 2023. Fatalities remained at 0 in both periods.
2
▼ -66.7%was 6
Total Crash Events
0
Fatal Crashes
0
▼ -100.0%was 3
Injury Crashes
0
Fatal Crash Events
Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 2 crashes with unreported severity are not shown in the severity breakdown.
Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend indicates a substantial decrease in crash activity in West Haven, with total crashes falling from 6 in 2022 to 2 in 2023, representing a 66.67% reduction. This decline also extended to injuries, which dropped from 3 in 2022 to 0 in 2023, while fatalities remained unchanged at 0.
When Crashes Happen
The peak day for crashes shifted from Thursday in 2022, which saw 3 crashes, to Saturday in 2023, with 1 crash. Similarly, the peak hour for crashes changed from 10p in 2022 to 9p in 2023, each recording 1 crash. Crashes in 2023 occurred in only two months (August and December), compared to five months in 2022.
Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Road & Environmental Conditions
In 2023, crashes were equally distributed between Clear (1 crash) and Rain (1 crash) weather conditions, and Dry (1 crash) and Wet (1 crash) road surfaces. In contrast, 2022 saw Rain as the most frequent weather condition (2 crashes) and Wet as the most frequent road surface condition (2 crashes). Conditions such as Freezing Precipitation and Snow, which were present in 2022, were not reported in 2023 crashes.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: West Haven, VT
- Total crash records analyzed: 2
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). "West Haven, VT Crash Intelligence Report: 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/west-haven/2023-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: 2023-01-01 – 2023-12-31
Generated: July 5, 2026 · All rights reserved