Salisbury, NY
Salisbury, NY's wildfire risk, in USFS's own numbers
USFS scores Salisbury at the 15th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 4,150 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Salisbury at the 22nd national percentile — 6 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Salisbury rates 99.4% Minimal exposure against just 0.6% Direct and 0% Indirect — of 4,150 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Salisbury against the rest of the country
Compare Salisbury's two percentiles: 36th within New York, only 15th nationally — a gap of 21 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Salisbury ranks 26,671 for wildfire risk (1 is highest) and 4,103 by building count (1 is largest). Within New York alone, it ranks 822 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Salisbury and the insurance market
At the 15th national percentile, Salisbury rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Salisbury
Even with 99.4% of Salisbury outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Salisbury's figures come from
Every one of the two percentiles behind Salisbury's 26,671-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Salisbury's dominant minimal exposure actually means, with real examples from across the dataset.