Kiryas Joel, NY
How exposed is Kiryas Joel to wildfire?
Out of every US place USFS scores, Kiryas Joel lands at the 38th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 827 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kiryas Joel at the 37th percentile, close to its 38th-percentile risk score.
Kiryas Joel's building exposure, zone by zone
827 buildings are counted in Kiryas Joel, and 89.2% of them are Indirect exposure — ember-driven risk rather than the 10.8% in Direct exposure or the 0% rated Minimal.
Kiryas Joel against the rest of the country
Kiryas Joel'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, Kiryas Joel ranks 19,420 for wildfire risk (1 is highest) and 13,376 by building count (1 is largest). Within New York alone, it ranks 237 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, Kiryas Joel rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Kiryas Joel (89.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Kiryas Joel's figures come from
Kiryas Joel's 38th-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 Kiryas Joel's dominant indirect exposure actually means, with real examples from across the dataset.