Noyack, NY
How exposed is Noyack to wildfire?
USFS scores Noyack at the 40th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 3,732 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Noyack at the 38th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
3,732 buildings are counted in Noyack, and 59.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 7.5% rated Minimal.
How Noyack compares
Noyack's 84th-percentile standing inside New York outpaces its 40th 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, Noyack ranks 18,912 for wildfire risk (1 is highest) and 4,489 by building count (1 is largest). Within New York alone, it ranks 201 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Noyack
Noyack's moderate wildfire rating (40th 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 Noyack
Noyack's 59.7% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Noyack's figures come from
Every one of the two percentiles behind Noyack's 18,912-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Noyack's dominant direct exposure actually means, with real examples from across the dataset.