WildfireRiskFinder

Woodstock, VT

Woodstock wildfire risk explained

Low
18thpercentile nationally

Out of every US place USFS scores, Woodstock lands at the 18th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 644 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Woodstock's burn probability — fire likelihood with no building count factored in — sits at the 18th percentile nationally.

What "at risk" means for the buildings here

644Total buildings
30.4%Direct exposure
69.6%Indirect exposure
0%Minimal exposure

644 buildings are counted in Woodstock, and 69.6% of them are Indirect exposure — ember-driven risk rather than the 30.4% in Direct exposure or the 0% rated Minimal.

How Woodstock compares

Woodstock's 78th-percentile standing inside Vermont outpaces its 18th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Woodstock ranks 25,984 for wildfire risk (1 is highest) and 15,280 by building count (1 is largest). Within Vermont alone, it ranks 41 of 179 places by risk. See the full county-by-county picture for Vermont on its state page.

Woodstock and the insurance market

At the 18th national percentile, Woodstock rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

Because 69.6% of Woodstock's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Woodstock's figures come from

The methodology guide shows exactly how USFS turned 644 counted buildings into the percentiles shown above for Woodstock. The exposure-zones guide covers what Woodstock's dominant indirect exposure actually means, with real examples from across the dataset.