Salisbury Mills, NY
Salisbury Mills wildfire risk explained
USFS scores Salisbury Mills at the 48th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 217 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 Mills at the 48th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Salisbury Mills's building exposure, zone by zone
95.9% of Salisbury Mills's 217 buildings sit in USFS's Direct exposure zone, roughly 208 structures close enough to burnable vegetation for flame contact, not just embers — 4.2% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Salisbury Mills ranks
Within New York, Salisbury Mills ranks higher (92nd percentile) than it does nationally (48th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Salisbury Mills ranks 16,426 for wildfire risk (1 is highest) and 24,238 by building count (1 is largest). Within New York alone, it ranks 103 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Salisbury Mills and the insurance market
Salisbury Mills's elevated rating (48th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Salisbury Mills
Because Direct exposure dominates in Salisbury Mills (95.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Salisbury Mills's figures come from
The methodology guide shows exactly how USFS turned 217 counted buildings into the percentiles shown above for Salisbury Mills. The exposure-zones guide covers what Salisbury Mills's dominant direct exposure actually means, with real examples from across the dataset.