Millport, NY
Millport, NY's wildfire risk, in USFS's own numbers
Millport sits at the 25th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 152 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Millport at the 24th percentile, close to its 25th-percentile risk score.
Millport's building exposure, zone by zone
Of Millport's 152 counted buildings, 100% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Millport compares
Within New York, Millport ranks higher (51st percentile) than it does nationally (25th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Millport ranks 23,806 for wildfire risk (1 is highest) and 26,814 by building count (1 is largest). Within New York alone, it ranks 630 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Millport and the insurance market
Millport's moderate rating (25th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Millport's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Millport's figures come from
Every one of the two percentiles behind Millport's 23,806-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Millport's dominant direct exposure actually means, with real examples from across the dataset.