New York Mills, NY
New York Mills, NY's wildfire risk, in USFS's own numbers
New York Mills sits at the 4th 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 1,315 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New York Mills at the 4th percentile, close to its 4th-percentile risk score.
Where New York Mills's buildings actually sit
New York Mills rates 84.1% Minimal exposure against just 15.9% Direct and 0% Indirect — of 1,315 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
New York Mills against the rest of the country
New York Mills's risk sits at a similar level relative to New York (3rd percentile statewide) as it does nationally (4th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, New York Mills ranks 30,234 for wildfire risk (1 is highest) and 9,992 by building count (1 is largest). Within New York alone, it ranks 1,246 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in New York Mills
New York Mills's low rating (4th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
New York Mills's 84.1% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where New York Mills's figures come from
The methodology guide shows exactly how USFS turned 1,315 counted buildings into the percentiles shown above for New York Mills. The exposure-zones guide covers what New York Mills's dominant minimal exposure actually means, with real examples from across the dataset.