Hurleyville, NY
Hurleyville, NY's wildfire risk, in USFS's own numbers
USFS scores Hurleyville 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 353 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hurleyville at the 40th percentile, close to its 40th-percentile risk score.
Where Hurleyville's buildings actually sit
Direct exposure dominates in Hurleyville: 79% of its 353 buildings, versus 21% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Hurleyville compares
Hurleyville'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, Hurleyville ranks 19,072 for wildfire risk (1 is highest) and 20,242 by building count (1 is largest). Within New York alone, it ranks 209 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Hurleyville
Hurleyville'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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Hurleyville (79%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Hurleyville's figures come from
Every one of the two percentiles behind Hurleyville's 19,072-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hurleyville's dominant direct exposure actually means, with real examples from across the dataset.