Yearly Traffic Safety Analysis

583 CRASHES IN
BRATTLEBORO, VT
2018

All metrics benchmarked against2017

In 2018, Brattleboro recorded 583 total vehicle crashes, a 14.3% decrease from the 680 crashes reported in 2017. The most significant year-over-year change was the reduction in traffic fatalities, which dropped from one in 2017 to zero in 2018. The total number of injuries also saw a decrease, falling from 85 to 79.

583

-14.3%was 680

Total Crash Events

0

-100.0%was 1

Fatal Crashes

79

-7.1%was 85

Injury Crashes

0

-100.0%was 1

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic crash trends in Brattleboro showed a notable decline from 2017 to 2018. Total crashes decreased by 14.3%, from 680 to 583. This downward trend was also reflected in crash outcomes, with total injuries falling from 85 to 79 and fatalities dropping from one to zero.

When Crashes Happen

The temporal patterns of crashes shifted between 2017 and 2018. The day with the highest number of crashes moved from Friday (125 incidents) in 2017 to Wednesday (106 incidents) in 2018. A more pronounced change occurred in the peak hour for collisions, which shifted from the 3 p.m. hour in 2017 (65 crashes) to the 12 a.m. hour in 2018 (48 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity improved in 2018, with fatal crashes decreasing from one in the prior year to zero. While the absolute number of injuries declined from 85 to 79, the proportion of total crashes that resulted in an injury slightly increased, rising from 12.5% in 2017 to 13.6% in 2018. Crashes involving no injuries accounted for 86.1% of all incidents in 2018, up from 81.5% in the previous year.

Outcome by Severity (Crash Events)

Injury79minor injury crashes13.6%
-7.1%prior 85
No Injury502no injury crashes86.1%
-9.4%prior 554

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Comparing crash conditions, the proportion of incidents occurring in darkness increased from 15.3% of total crashes in 2017 to 19.6% in 2018, while daylight crashes correspondingly decreased as a share of the total. When examining crashes with known road surface data, the percentage occurring on dry roads rose from 73.9% in 2017 to 76.5% in 2018. Among crashes where weather was recorded, the share occurring in clear conditions decreased from 74.4% to 70.9%.

Weather

Clear256 (70.9%)
-14.4%prior 299
Cloudy54 (15.0%)
8.0%prior 50
Freezing Precipitation26 (7.2%)
0.0%prior 26
Rain25 (6.9%)
0.0%prior 25

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Weather condition at time of crash

Lighting

Daylight422 (78.7%)
-18.1%prior 515
Dark114 (21.3%)
9.6%prior 104

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Lighting condition field

Road Surface

Dry274 (76.5%)
-7.7%prior 297
Wet46 (12.8%)
-24.6%prior 61
Snow21 (5.9%)
-16.0%prior 25
Ice10 (2.8%)
0.0%prior 10
Slush3 (0.8%)
Other - Explain in Narrative2 (0.6%)
Water (standing / moving)2 (0.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · 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: 2018-01-01 through 2018-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2018-01-01 through 2018-12-31 (365 days)
  • Geographic scope: Brattleboro, VT
  • Total crash records analyzed: 583

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: 2018." Published July 5, 2026. Reporting period: 2018-01-01 to 2018-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/brattleboro/2018-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 — 2018 | ThatCarHitMe.com