ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · VERMONT, VT · DECEMBER 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/statewide/december-2023-report
Monthly Traffic Safety Analysis
639 CRASHES IN
VERMONT, VT
DECEMBER 2023
In December 2023, Vermont recorded 639 total traffic crashes, a 19.5% decrease from the 794 crashes reported in December 2022. Despite the overall reduction in collisions, the number of fatalities increased from 3 to 5 year-over-year. A notable factor in the overall crash reduction was a significant decrease in incidents occurring in adverse winter conditions, with crashes on snowy roads falling from 164 to 42.
639
▼ -19.5%was 794
Total Crash Events
5
▲ 66.7%was 3
Fatal Crashes
146
▼ -5.2%was 154
Injury Crashes
5
▲ 66.7%was 3
Fatal Crash Events
Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 10 crashes with unreported severity are not shown in the severity breakdown.
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic collisions in Vermont saw a notable decline in December 2023 compared to the same month in the prior year. Total crashes fell by 19.5%, from 794 to 639. While the number of reported injuries also decreased slightly from 154 to 146, the number of fatalities rose from 3 in December 2022 to 5 in December 2023.
When Crashes Happen
The temporal patterns of crashes remained broadly consistent year-over-year, though with lower volumes. Friday was the peak day for crashes in both December 2023 (123 crashes) and December 2022 (175 crashes). Similarly, the 5 p.m. hour remained the single busiest hour for collisions in both periods, with 60 and 74 crashes, respectively. While Friday was the dominant day in both years, Wednesday became the second most frequent day for crashes in December 2023 with 110 incidents, a shift from the prior year when Thursday held that position with 116 incidents.
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the total number of crashes decreased, the severity of collisions increased in December 2023 compared to the prior year. The number of fatal crashes rose from 3 to 5, and the fatality rate per 100 crashes increased from 0.38 to 0.78. The proportion of crashes resulting in an injury also grew, accounting for 22.8% of all incidents (146 crashes) in December 2023, up from 19.4% (154 crashes) in December 2022. Consequently, the share of non-injury crashes fell from 76.1% to 74.8%.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 to 2023-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Driving conditions associated with crashes shifted significantly between the two periods. In December 2023, there was a substantial reduction in crashes occurring in adverse winter weather; collisions during freezing precipitation fell from 171 to 59, and those on snowy road surfaces dropped from 164 to 42. Consequently, crashes on dry roads made up a larger share of the total, rising from 35.5% in December 2022 to 44.6% in December 2023, despite the absolute number of such crashes remaining stable. The proportion of crashes in daylight fell slightly from 74.4% to 71.0%.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2023-12-01 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: 2023-12-01 through 2023-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-12-01 through 2023-12-31 (31 days)
- Geographic scope: vermont, VT
- Total crash records analyzed: 639
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: December 2023." Published July 5, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/december-2023-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: 2023-12-01 – 2023-12-31
Generated: July 5, 2026 · All rights reserved