WildfireRiskFinder

Bingham, ME

Bingham wildfire risk explained

Low
8thpercentile nationally

USFS scores Bingham at the 8th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 581 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Bingham's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.

What "at risk" means for the buildings here

581Total buildings
30.1%Direct exposure
69.9%Indirect exposure
0%Minimal exposure

USFS puts 69.9% of Bingham's 581 buildings in the Indirect exposure zone, versus 30.1% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

Where Bingham ranks

Bingham's risk sits at a similar level relative to Maine (22nd percentile statewide) as it does nationally (8th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Bingham ranks 29,153 for wildfire risk (1 is highest) and 16,093 by building count (1 is largest). Within Maine alone, it ranks 122 of 155 places by risk. See the full county-by-county picture for Maine on its state page.

What this risk score means for insurance

Bingham's low rating (8th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Bingham

Bingham's 69.9% 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 Bingham's figures come from

The methodology guide shows exactly how USFS turned 581 counted buildings into the percentiles shown above for Bingham. The exposure-zones guide covers what Bingham's dominant indirect exposure actually means, with real examples from across the dataset.