Mattawamkeag, ME
Mattawamkeag, ME's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Mattawamkeag lands at the 12th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 351 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 Mattawamkeag at the 12th percentile, close to its 12th-percentile risk score.
Where Mattawamkeag's buildings actually sit
Of Mattawamkeag's 351 counted buildings, 88% 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 Mattawamkeag compares
Compare Mattawamkeag's two percentiles: 62nd within Maine, only 12th nationally — a gap of 50 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Mattawamkeag ranks 27,642 for wildfire risk (1 is highest) and 20,279 by building count (1 is largest). Within Maine alone, it ranks 59 of 155 places by risk. See the full county-by-county picture for Maine on its state page.
Shopping for coverage in Mattawamkeag
At the 12th national percentile, Mattawamkeag rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Mattawamkeag
With 88% of Mattawamkeag in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Mattawamkeag's figures come from
The methodology guide shows exactly how USFS turned 351 counted buildings into the percentiles shown above for Mattawamkeag. The exposure-zones guide covers what Mattawamkeag's dominant direct exposure actually means, with real examples from across the dataset.