DeRuyter, NY
DeRuyter, NY's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, DeRuyter lands at the 14th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 329 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks DeRuyter at the 15th national percentile — 1 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
Indirect exposure is dominant in DeRuyter (69% of 329 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 31% sit in the Direct zone.
DeRuyter against the rest of the country
DeRuyter's 34th-percentile standing inside New York outpaces its 14th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, DeRuyter ranks 26,986 for wildfire risk (1 is highest) and 20,856 by building count (1 is largest). Within New York alone, it ranks 849 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in DeRuyter
DeRuyter's low wildfire rating (14th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in DeRuyter
Because 69% of DeRuyter'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 DeRuyter's figures come from
DeRuyter's 14th-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 DeRuyter's dominant indirect exposure actually means, with real examples from across the dataset.