Morrisonville, NY
Morrisonville wildfire risk explained
Out of every US place USFS scores, Morrisonville lands at the 13th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,016 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Morrisonville at the 14th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Morrisonville's building exposure, zone by zone
USFS puts 53.6% of Morrisonville's 1,016 buildings in the Indirect exposure zone, versus 46.3% Direct and 0.1% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Morrisonville compares
Compare Morrisonville's two percentiles: 32nd within New York, only 13th nationally — a gap of 19 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Morrisonville ranks 27,331 for wildfire risk (1 is highest) and 11,829 by building count (1 is largest). Within New York alone, it ranks 877 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Morrisonville
Morrisonville's low wildfire rating (13th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With ember exposure the dominant pattern in Morrisonville (53.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Morrisonville's figures come from
The methodology guide shows exactly how USFS turned 1,016 counted buildings into the percentiles shown above for Morrisonville. The exposure-zones guide covers what Morrisonville's dominant indirect exposure actually means, with real examples from across the dataset.