Anson, ME
Anson, ME's wildfire risk, in USFS's own numbers
Anson sits at the 7th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 431 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Anson at the 7th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Anson's buildings actually sit
Indirect exposure is dominant in Anson (61.3% of 431 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 37.8% sit in the Direct zone.
Where Anson ranks
There's little gap between Anson's 7th national percentile and its 2nd percentile inside Maine, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Anson ranks 29,468 for wildfire risk (1 is highest) and 18,626 by building count (1 is largest). Within Maine alone, it ranks 152 of 155 places by risk. See the full county-by-county picture for Maine on its state page.
Shopping for coverage in Anson
At the 7th national percentile, Anson rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Anson's 61.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Anson's figures come from
Every one of the two percentiles behind Anson's 29,468-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Anson's dominant indirect exposure actually means, with real examples from across the dataset.