Washington Mills, NY
Washington Mills wildfire risk explained
USFS's Wildfire Risk to Communities model puts Washington Mills at the 5th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 412 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Washington Mills's burn probability — fire likelihood with no building count factored in — sits at the 5th percentile nationally.
Where Washington Mills's buildings actually sit
56.3% of Washington Mills's 412 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 43.7% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Washington Mills compares
Washington Mills's risk sits at a similar level relative to New York (5th percentile statewide) as it does nationally (5th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Washington Mills ranks 29,957 for wildfire risk (1 is highest) and 18,992 by building count (1 is largest). Within New York alone, it ranks 1,229 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Washington Mills
At the 5th national percentile, Washington Mills 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 Washington Mills
Because 56.3% of Washington Mills'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 Washington Mills's figures come from
Every one of the two percentiles behind Washington Mills's 29,957-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Washington Mills's dominant indirect exposure actually means, with real examples from across the dataset.