Maplewood, WA
Maplewood wildfire risk explained
USFS's Wildfire Risk to Communities model puts Maplewood at the 19th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 2,666 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Maplewood's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
Maplewood's building exposure, zone by zone
USFS classifies 69.8% of Maplewood's buildings as Direct exposure, higher than its 27% Indirect share and far above its 3.2% Minimal share — a profile where 1,861 structures sit close enough to vegetation that lot clearing matters most.
Maplewood against the rest of the country
Maplewood's risk sits at a similar level relative to Washington (29th percentile statewide) as it does nationally (19th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Maplewood ranks 25,482 for wildfire risk (1 is highest) and 5,990 by building count (1 is largest). Within Washington alone, it ranks 448 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
What this risk score means for insurance
Maplewood's low rating (19th 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 Maplewood
With 69.8% of Maplewood in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Maplewood's figures come from
Maplewood's 19th-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 Maplewood's dominant direct exposure actually means, with real examples from across the dataset.