WildfireRiskFinder

Danforth, ME

Danforth, ME's wildfire risk, in USFS's own numbers

Low
16thpercentile nationally

Out of every US place USFS scores, Danforth lands at the 16th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 307 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 Danforth at the 16th percentile, close to its 16th-percentile risk score.

What "at risk" means for the buildings here

307Total buildings
71.7%Direct exposure
28.3%Indirect exposure
0%Minimal exposure

USFS classifies 71.7% of Danforth's buildings as Direct exposure, higher than its 28.3% Indirect share and far above its 0% Minimal share — a profile where 220 structures sit close enough to vegetation that lot clearing matters most.

How Danforth compares

Compare Danforth's two percentiles: 75th within Maine, only 16th nationally — a gap of 60 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Danforth ranks 26,532 for wildfire risk (1 is highest) and 21,444 by building count (1 is largest). Within Maine alone, it ranks 39 of 155 places by risk. See the full county-by-county picture for Maine on its state page.

Shopping for coverage in Danforth

At the 16th national percentile, Danforth rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Because Direct exposure dominates in Danforth (71.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Danforth's figures come from

The methodology guide shows exactly how USFS turned 307 counted buildings into the percentiles shown above for Danforth. The exposure-zones guide covers what Danforth's dominant direct exposure actually means, with real examples from across the dataset.