Killington Village, VT
Killington Village wildfire risk explained
Killington Village's 867 buildings earn a 16th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Killington Village at the 16th percentile, close to its 16th-percentile risk score.
What "at risk" means for the buildings here
87.4% of Killington Village's 867 buildings sit in USFS's Direct exposure zone, roughly 758 structures close enough to burnable vegetation for flame contact, not just embers — 12.6% fall in the Indirect, ember-only zone and 0% are Minimal.
How Killington Village compares
Within Vermont, Killington Village ranks higher (56th percentile) than it does nationally (16th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Killington Village ranks 26,489 for wildfire risk (1 is highest) and 13,016 by building count (1 is largest). Within Vermont alone, it ranks 80 of 179 places by risk. See the full county-by-county picture for Vermont on its state page.
Shopping for coverage in Killington Village
Killington Village's low rating (16th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Killington Village (87.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Killington Village's figures come from
Every one of the two percentiles behind Killington Village's 26,489-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Killington Village's dominant direct exposure actually means, with real examples from across the dataset.