Standish, ME
Standish wildfire risk explained
Standish sits at the 17th 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 312 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Standish at the 17th percentile, close to its 17th-percentile risk score.
What "at risk" means for the buildings here
Of Standish's 312 counted buildings, 88.1% 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 Standish compares
Compare Standish's two percentiles: 79th within Maine, only 17th nationally — a gap of 62 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Standish ranks 26,160 for wildfire risk (1 is highest) and 21,316 by building count (1 is largest). Within Maine alone, it ranks 34 of 155 places by risk. See the full county-by-county picture for Maine on its state page.
Shopping for coverage in Standish
Standish's low wildfire rating (17th 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 88.1% of Standish 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 Standish's figures come from
Every one of the two percentiles behind Standish's 26,160-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Standish's dominant direct exposure actually means, with real examples from across the dataset.