Bedford Hills, NY
Bedford Hills, NY's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Bedford Hills 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 843 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 Bedford Hills at the 37th percentile, close to its 38th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in Bedford Hills (73.8% of 843 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 26.2% sit in the Direct zone.
How Bedford Hills compares
Bedford Hills'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, Bedford Hills ranks 19,483 for wildfire risk (1 is highest) and 13,224 by building count (1 is largest). Within New York alone, it ranks 239 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Bedford Hills
Bedford Hills's moderate rating (38th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Bedford Hills
With ember exposure the dominant pattern in Bedford Hills (73.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Bedford Hills's figures come from
Bedford Hills'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 Bedford Hills's dominant indirect exposure actually means, with real examples from across the dataset.