Yearly Traffic Safety Analysis

54 CRASHES IN
BARRE CITY, VT
2023

All metrics benchmarked against2022

In Barre City, total traffic crashes decreased by 11.5% from 61 in 2022 to 54 in 2023. Despite the overall decline in collisions, the total number of injuries remained unchanged at 21 in both periods. This resulted in an increase in the proportion of crashes involving an injury, which rose from 34.4% in the prior year to 38.9% in the current year.

54

▼ -11.5%was 61

Total Crash Events

0

Fatal Crashes

21

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.

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 in traffic collisions in Barre City shows a year-over-year improvement, with total crashes falling from 61 in 2022 to 54 in 2023. This represents a decrease of 7 crashes, or 11.5%. However, the number of resulting injuries held steady at 21, and fatalities remained at zero for both years.

When Crashes Happen

The temporal patterns of crashes showed some shifts between the two periods. While the peak hour for crashes remained 5 p.m. in both 2022 and 2023, the peak day for collisions changed from a three-way tie (Monday, Thursday, Saturday) in the prior year to Tuesday in the current year, which saw 12 crashes. Crashes during the 5 p.m. peak hour decreased from 8 in 2022 to 5 in 2023.

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity saw no change in the most severe outcomes, with zero fatalities and zero fatal crashes recorded in both 2022 and 2023. The total number of injuries also remained constant at 21 for both years. However, because the total number of crashes decreased, the proportion of collisions resulting in an injury increased from 34.4% in 2022 to 38.9% in 2023.

Outcome by Severity (Crash Events)

Injury21minor injury crashes38.9%
→0.0%prior 21
No Injury33no injury crashes61.1%
↓-15.4%prior 39

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 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 · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes in both periods occurred in daylight on dry roads, but there was a shift in the prevalence of adverse road surface conditions. In 2023, 14.8% of crashes occurred on non-dry surfaces such as wet, snow, or slush, a decrease from 23.0% in 2022. The proportion of crashes occurring in daylight (70.4% in 2023 vs. 73.8% in 2022) and during clear weather (61.1% in 2023 vs. 62.3% in 2022) remained relatively stable year-over-year.

Weather

Clear33 (71.7%)
↓-13.2%prior 38
Cloudy6 (13.0%)
↓-25.0%prior 8
Freezing Precipitation5 (10.9%)
Rain2 (4.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight38 (70.4%)
↓-15.6%prior 45
Dark16 (29.6%)
↑6.7%prior 15

Source: Vermont Crash Data · Arcgis Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry35 (81.4%)
↓-10.3%prior 39
Snow5 (11.6%)
→0.0%prior 5
Wet2 (4.7%)
↓-77.8%prior 9
Slush1 (2.3%)

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: Barre City, VT
  • Total crash records analyzed: 54

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). "Barre City, 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/barre-city/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

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Barre City, VT Crash Report — 2023 | ThatCarHitMe.com