North Berwick, ME
How exposed is North Berwick to wildfire?
North Berwick sits at the 33rd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 832 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, North Berwick's burn probability — fire likelihood with no building count factored in — sits at the 30th percentile nationally.
Where North Berwick's buildings actually sit
Direct exposure dominates in North Berwick: 58.4% of its 832 buildings, versus 41.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
North Berwick against the rest of the country
North Berwick's 97th-percentile standing inside Maine outpaces its 33rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, North Berwick ranks 21,236 for wildfire risk (1 is highest) and 13,325 by building count (1 is largest). Within Maine alone, it ranks 5 of 155 places by risk. See the full county-by-county picture for Maine on its state page.
Shopping for coverage in North Berwick
North Berwick's moderate rating (33rd 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 Direct exposure dominates in North Berwick (58.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where North Berwick's figures come from
North Berwick's 33rd-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 North Berwick's dominant direct exposure actually means, with real examples from across the dataset.