Yearly Traffic Safety Analysis

38 CRASHES IN
BARRE TOWN, VT
2020

All metrics benchmarked against2019

In Barre Town, VT, total crashes decreased by 36.7%, from 60 in 2019 to 38 in 2020. Concurrently, total injuries fell by 53.3%, from 30 to 14. However, the community experienced one fatality in 2020, compared to zero in 2019.

38

-36.7%was 60

Total Crash Events

1

Fatal Crashes

14

-53.3%was 30

Injury Crashes

1

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 · 2020-01-01 to 2020-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, Barre Town experienced a notable decrease in crash incidents year-over-year, with total crashes falling by 36.7% from 60 in 2019 to 38 in 2020. This reduction was also reflected in a 53.3% decrease in total injuries, from 30 to 14. Despite these reductions, a single fatality occurred in 2020, whereas no fatalities were recorded in 2019.

When Crashes Happen

The temporal patterns of crashes shifted between 2019 and 2020 in Barre Town, VT. The peak day for crashes moved from Saturday with 15 incidents in 2019 to Friday with 9 incidents in 2020. Similarly, the peak crash hour changed from 12p with 7 crashes in 2019 to 4p with 5 crashes in 2020, indicating a shift in the busiest times for crash occurrences.

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes in Barre Town, VT, saw significant changes year-over-year. Fatal crashes increased from zero in 2019 to one in 2020, resulting in a 2.63% fatal crash rate for the current year. Concurrently, the proportion of injury crashes decreased from 50% (30 out of 60) in 2019 to 36.8% (14 out of 38) in 2020, while crashes with no injury increased from 48.3% to 60.5%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.6%
Injury14minor injury crashes36.8%
-53.3%prior 30
No Injury23no injury crashes60.5%
-20.7%prior 29

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes under various conditions generally decreased from 2019 to 2020. Incidents in clear weather dropped from 34 to 28, and crashes during adverse weather like rain or freezing precipitation collectively decreased from 10 to 3. Similarly, crashes occurring in daylight fell from 45 to 24, and those on wet or snowy/icy/slushy roads saw reductions from 12 to 5 and 15 to 5, respectively.

Weather

Clear28 (73.7%)
-17.6%prior 34
Cloudy7 (18.4%)
-41.7%prior 12
Rain2 (5.3%)
Freezing Precipitation1 (2.6%)
-83.3%prior 6

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Weather condition at time of crash

Lighting

Daylight24 (63.2%)
-46.7%prior 45
Dark14 (36.8%)
-6.7%prior 15

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Lighting condition field

Road Surface

Dry28 (73.7%)
-9.7%prior 31
Wet5 (13.2%)
-58.3%prior 12
Ice3 (7.9%)
Slush1 (2.6%)
Snow1 (2.6%)
-90.0%prior 10

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · 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: 2020-01-01 through 2020-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2020-01-01 through 2020-12-31 (366 days)
  • Geographic scope: Barre Town, VT
  • Total crash records analyzed: 38

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 Town, VT Crash Intelligence Report: 2020." Published July 5, 2026. Reporting period: 2020-01-01 to 2020-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/barre-town/2020-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 Town, VT Crash Report — 2020 | ThatCarHitMe.com