Newfane, VT
Newfane wildfire risk explained
Newfane sits at the 15th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 82 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Newfane at the 15th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Newfane's building exposure, zone by zone
82 buildings are counted in Newfane, and 81.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Newfane against the rest of the country
Within Vermont, Newfane ranks higher (47th percentile) than it does nationally (15th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Newfane ranks 26,710 for wildfire risk (1 is highest) and 29,827 by building count (1 is largest). Within Vermont alone, it ranks 96 of 179 places by risk. See the full county-by-county picture for Vermont on its state page.
Shopping for coverage in Newfane
Newfane's low wildfire rating (15th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Newfane
With 81.7% of Newfane in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Newfane's figures come from
Every one of the two percentiles behind Newfane's 26,710-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Newfane's dominant direct exposure actually means, with real examples from across the dataset.