WildfireRiskFinder

Lubec, ME

Lubec wildfire risk explained

Moderate
26thpercentile nationally

Lubec's 420 buildings earn a 26th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Lubec's burn probability — fire likelihood with no building count factored in — sits at the 26th percentile nationally.

Where Lubec's buildings actually sit

420Total buildings
14.5%Direct exposure
84.1%Indirect exposure
1.4%Minimal exposure

84.1% of Lubec's 420 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 14.5% Direct and 1.4% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

How Lubec compares

Within Maine, Lubec ranks higher (94th percentile) than it does nationally (26th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Lubec ranks 23,190 for wildfire risk (1 is highest) and 18,817 by building count (1 is largest). Within Maine alone, it ranks 10 of 155 places by risk. See the full county-by-county picture for Maine on its state page.

Lubec and the insurance market

Lubec's moderate rating (26th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Lubec's 84.1% 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 Lubec's figures come from

Every one of the two percentiles behind Lubec's 23,190-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lubec's dominant indirect exposure actually means, with real examples from across the dataset.