Lisbon, ME
Lisbon, ME's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Lisbon lands at the 9th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,408 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lisbon at the 9th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS puts 63.4% of Lisbon's 1,408 buildings in the Indirect exposure zone, versus 36.7% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Lisbon against the rest of the country
Lisbon's 36th-percentile standing inside Maine outpaces its 9th 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, Lisbon ranks 28,742 for wildfire risk (1 is highest) and 9,595 by building count (1 is largest). Within Maine alone, it ranks 98 of 155 places by risk. See the full county-by-county picture for Maine on its state page.
What this risk score means for insurance
Lisbon's low wildfire rating (9th 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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Lisbon (63.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Lisbon's figures come from
Lisbon's 9th-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 Lisbon's dominant indirect exposure actually means, with real examples from across the dataset.