Yearly Traffic Safety Analysis

411 CRASHES IN
BRATTLEBORO, VT
2020

All metrics benchmarked against2019

In 2020, Brattleboro recorded 411 traffic crashes, a 29.3% decrease from the 581 crashes documented in 2019. Despite the overall reduction in collisions, the city experienced one fatal crash in 2020, whereas none were recorded in the prior year. Total injuries also saw a decline, falling from 67 in 2019 to 41 in 2020.

411

▼ -29.3%was 581

Total Crash Events

1

Fatal Crashes

41

▼ -38.8%was 67

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. 28 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic safety trends in Brattleboro showed a significant improvement year-over-year, with total crashes falling by 29.3% from 581 in 2019 to 411 in 2020. The number of people injured in these incidents also decreased by 38.8%, from 67 to 41. However, this downward trend in overall crash volume was contrasted by the occurrence of one fatality in 2020, compared to zero in the previous year.

When Crashes Happen

The timing of crashes shifted between the two periods. In 2020, the highest number of crashes occurred on Tuesdays with 75 incidents, a change from 2019 when Friday was the peak day with 109 crashes. While the reported peak hour for collisions remained 12 a.m. in both years, the volume in that hour decreased from 64 to 45. Notably, collisions during the afternoon commute hours from 3 p.m. to 5 p.m. saw a substantial decline, dropping from 125 crashes in 2019 to 74 in 2020.

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

While the total number of crashes decreased, the severity landscape shifted in 2020. The city recorded one fatal crash, representing 0.2% of all incidents, compared to zero fatal crashes in 2019. The proportion of crashes resulting in any injury decreased slightly from 11.5% (67 crashes) in 2019 to 10.0% (41 crashes) in 2020. Correspondingly, crashes with no reported injuries accounted for 83% of the total in 2020, down from 85% in the prior year.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.2%
Injury41minor injury crashes10%
↓-38.8%prior 67
No Injury341no injury crashes83%
↓-31.0%prior 494

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

In 2020, a smaller percentage of crashes occurred in clear and dry conditions compared to the previous year. Crashes on dry roads made up 43.8% of the total in 2020, down from 47.2% in 2019. There was also a notable shift in lighting conditions, with the share of crashes occurring in daylight decreasing from 74.5% in 2019 to 70.1% in 2020, while the proportion of crashes in the dark rose from 14.8% to 19.9%.

Weather

Clear184 (76.7%)
↓-31.6%prior 269
Cloudy28 (11.7%)
↑7.7%prior 26
Freezing Precipitation15 (6.3%)
↓-21.1%prior 19
Rain13 (5.4%)
↓-50.0%prior 26

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

Lighting

Daylight288 (77.8%)
↓-33.5%prior 433
Dark82 (22.2%)
↓-4.7%prior 86

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

Road Surface

Dry180 (75.0%)
↓-34.3%prior 274
Wet30 (12.5%)
↓-30.2%prior 43
Snow15 (6.3%)
→0.0%prior 15
Ice12 (5.0%)
↑9.1%prior 11
Other - Explain in Narrative2 (0.8%)
Water (standing / moving)1 (0.4%)

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: Brattleboro, VT
  • Total crash records analyzed: 411

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). "Brattleboro, 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/brattleboro/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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Brattleboro, VT Crash Report — 2020 | ThatCarHitMe.com