WildfireRiskFinder

Newport, ME

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

Low
7thpercentile nationally

Newport's 1,153 buildings earn a 7th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Newport's burn probability — fire likelihood with no building count factored in — sits at the 7th percentile nationally.

Where Newport's buildings actually sit

1,153Total buildings
42.8%Direct exposure
54.7%Indirect exposure
2.5%Minimal exposure

54.7% of Newport's 1,153 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 42.8% Direct and 2.5% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

Newport against the rest of the country

Newport's risk sits at a similar level relative to Maine (19th 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, Newport ranks 29,221 for wildfire risk (1 is highest) and 10,932 by building count (1 is largest). Within Maine alone, it ranks 129 of 155 places by risk. See the full county-by-county picture for Maine on its state page.

Shopping for coverage in Newport

Newport's low rating (7th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because 54.7% of Newport's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Newport's figures come from

Newport's 7th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Newport's dominant indirect exposure actually means, with real examples from across the dataset.