Blue Point, NY
How exposed is Blue Point to wildfire?
Blue Point's 2,160 buildings earn a 42nd-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Blue Point at the 40th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Blue Point's buildings actually sit
Only 14.7% of Blue Point's 2,160 buildings carry Direct exposure and 0% carry Indirect; the remaining 85.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Blue Point against the rest of the country
Blue Point's 87th-percentile standing inside New York outpaces its 42nd 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, Blue Point ranks 18,311 for wildfire risk (1 is highest) and 7,041 by building count (1 is largest). Within New York alone, it ranks 168 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Blue Point and the insurance market
Blue Point's elevated rating (42nd 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 Blue Point
Even with 85.3% of Blue Point outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Blue Point's figures come from
Blue Point's 42nd-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 Blue Point's dominant minimal exposure actually means, with real examples from across the dataset.