Wurtsboro Hills, NY
Wurtsboro Hills wildfire risk explained
Wurtsboro Hills's 605 buildings earn a 62nd-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Wurtsboro Hills at the 61st percentile, close to its 62nd-percentile risk score.
What "at risk" means for the buildings here
93.1% of Wurtsboro Hills's 605 buildings sit in USFS's Direct exposure zone, roughly 563 structures close enough to burnable vegetation for flame contact, not just embers — 6.9% fall in the Indirect, ember-only zone and 0% are Minimal.
How Wurtsboro Hills compares
Wurtsboro Hills's 99th-percentile standing inside New York outpaces its 62nd 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, Wurtsboro Hills ranks 11,953 for wildfire risk (1 is highest) and 15,768 by building count (1 is largest). Within New York alone, it ranks 13 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Wurtsboro Hills
Wurtsboro Hills's high rating (62nd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
Wurtsboro Hills's 93.1% 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 Wurtsboro Hills's figures come from
Every one of the two percentiles behind Wurtsboro Hills's 11,953-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wurtsboro Hills's dominant direct exposure actually means, with real examples from across the dataset.