Dover-Foxcroft, ME
Dover-Foxcroft wildfire risk explained
USFS scores Dover-Foxcroft at the 7th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 1,528 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dover-Foxcroft at the 7th percentile, close to its 7th-percentile risk score.
Where Dover-Foxcroft's buildings actually sit
Direct exposure dominates in Dover-Foxcroft: 54.5% of its 1,528 buildings, versus 45.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Dover-Foxcroft ranks
Dover-Foxcroft's risk sits at a similar level relative to Maine (16th percentile statewide) as it does nationally (7th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Dover-Foxcroft ranks 29,219 for wildfire risk (1 is highest) and 9,045 by building count (1 is largest). Within Maine alone, it ranks 127 of 155 places by risk. See the full county-by-county picture for Maine on its state page.
Shopping for coverage in Dover-Foxcroft
Dover-Foxcroft's low wildfire rating (7th 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
Dover-Foxcroft's 54.5% 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 Dover-Foxcroft's figures come from
The methodology guide shows exactly how USFS turned 1,528 counted buildings into the percentiles shown above for Dover-Foxcroft. The exposure-zones guide covers what Dover-Foxcroft's dominant direct exposure actually means, with real examples from across the dataset.