Katonah, NY
How exposed is Katonah to wildfire?
Katonah sits at the 38th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 653 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 Katonah at the 37th percentile, close to its 38th-percentile risk score.
What "at risk" means for the buildings here
USFS puts 72.6% of Katonah's 653 buildings in the Indirect exposure zone, versus 27.4% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Katonah ranks
Katonah's 82nd-percentile standing inside New York outpaces its 38th 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, Katonah ranks 19,419 for wildfire risk (1 is highest) and 15,167 by building count (1 is largest). Within New York alone, it ranks 236 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
What this risk score means for insurance
At the 38th national percentile, Katonah rates moderate 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 Katonah
Because 72.6% of Katonah'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 Katonah's figures come from
Every one of the two percentiles behind Katonah's 19,419-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Katonah's dominant indirect exposure actually means, with real examples from across the dataset.