Yearly Traffic Safety Analysis

680 CRASHES IN
BRATTLEBORO, VT
2017

All metrics benchmarked against2016

Total crashes in Brattleboro decreased by 1.02% from 687 in 2016 to 680 in 2017. While overall crashes saw a slight decline, DUI-related crashes increased by 16.67% year-over-year, rising from 12 in 2016 to 14 in 2017. Fatalities remained constant at one in both periods.

680

-1.0%was 687

Total Crash Events

1

Fatal Crashes

85

-6.6%was 91

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

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, Brattleboro experienced a slight decrease in crash incidents, with total crashes falling by 1.02% from 687 in 2016 to 680 in 2017. Total injuries also decreased by 6.59%, from 91 in 2016 to 85 in 2017. Fatalities remained unchanged at one in both years.

When Crashes Happen

The peak day for crashes remained Friday in both years, though the count decreased from 133 crashes in 2016 to 125 crashes in 2017. A notable shift occurred in peak crash hours, moving from 12a with 82 crashes in 2016 to 3p with 65 crashes in 2017. Crashes occurring at 12a decreased by 24.39% from 82 to 62.

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained constant at one in both 2016 and 2017, resulting in a consistent fatal crash rate of 0.15% for both periods. Injury crashes decreased by 6.59%, from 91 (13.2% of total crashes) in 2016 to 85 (12.5% of total crashes) in 2017. The proportion of crashes with no injury also slightly decreased from 84% in 2016 to 81.5% in 2017.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
0.0%prior 1
Injury85minor injury crashes12.5%
-6.6%prior 91
No Injury554no injury crashes81.5%
-4.0%prior 577

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather conditions slightly decreased from 307 in 2016 to 299 in 2017. There was a significant 40.91% decrease in crashes during freezing precipitation, from 44 in 2016 to 26 in 2017, while crashes during rain increased by 47.06% from 17 to 25. Regarding road surface conditions, crashes on dry roads decreased from 321 to 297, while crashes on wet roads increased by 69.44% from 36 to 61.

Weather

Clear299 (74.4%)
-2.6%prior 307
Cloudy50 (12.4%)
-5.7%prior 53
Freezing Precipitation26 (6.5%)
-40.9%prior 44
Rain25 (6.2%)
47.1%prior 17
Wind2 (0.5%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Weather condition at time of crash

Lighting

Daylight515 (83.2%)
-0.8%prior 519
Dark104 (16.8%)
10.6%prior 94

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Lighting condition field

Road Surface

Dry297 (73.9%)
-7.5%prior 321
Wet61 (15.2%)
69.4%prior 36
Snow25 (6.2%)
-35.9%prior 39
Ice10 (2.5%)
42.9%prior 7
Slush4 (1.0%)
Sand, mud, dirt, oil, gravel3 (0.7%)
Water (standing / moving)1 (0.2%)
Other - Explain in Narrative1 (0.2%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · 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: 2017-01-01 through 2017-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2017-01-01 through 2017-12-31 (365 days)
  • Geographic scope: Brattleboro, VT
  • Total crash records analyzed: 680

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: 2017." Published July 5, 2026. Reporting period: 2017-01-01 to 2017-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/brattleboro/2017-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 — 2017 | ThatCarHitMe.com