Felts Mills, NY
How exposed is Felts Mills to wildfire?
Out of every US place USFS scores, Felts Mills lands at the 5th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 284 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Felts Mills's burn probability — fire likelihood with no building count factored in — sits at the 5th percentile nationally.
Where Felts Mills's buildings actually sit
Direct exposure dominates in Felts Mills: 65.1% of its 284 buildings, versus 0% Indirect and 34.9% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Felts Mills against the rest of the country
There's little gap between Felts Mills's 5th national percentile and its 5th percentile inside New York, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Felts Mills ranks 29,990 for wildfire risk (1 is highest) and 22,067 by building count (1 is largest). Within New York alone, it ranks 1,230 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Felts Mills and the insurance market
Felts Mills's low rating (5th 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 Felts Mills
With 65.1% of Felts Mills in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Felts Mills's figures come from
Felts Mills's 5th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Felts Mills's dominant direct exposure actually means, with real examples from across the dataset.