Yorktown Heights, NY
Yorktown Heights wildfire risk explained
Out of every US place USFS scores, Yorktown Heights lands at the 41st percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 701 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Yorktown Heights's burn probability — fire likelihood with no building count factored in — sits at the 40th percentile nationally.
Where Yorktown Heights's buildings actually sit
701 buildings are counted in Yorktown Heights, and 79.5% of them are Indirect exposure — ember-driven risk rather than the 20.5% in Direct exposure or the 0% rated Minimal.
Yorktown Heights against the rest of the country
Yorktown Heights's 85th-percentile standing inside New York outpaces its 41st 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, Yorktown Heights ranks 18,755 for wildfire risk (1 is highest) and 14,649 by building count (1 is largest). Within New York alone, it ranks 194 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Yorktown Heights
Yorktown Heights's elevated rating (41st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Yorktown Heights (79.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Yorktown Heights's figures come from
Every one of the two percentiles behind Yorktown Heights's 18,755-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Yorktown Heights's dominant indirect exposure actually means, with real examples from across the dataset.