Satsop, WA
Satsop wildfire risk explained
USFS's Wildfire Risk to Communities model puts Satsop at the 29th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 634 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Satsop's burn probability — fire likelihood with no building count factored in — sits at the 32nd percentile nationally.
Satsop's building exposure, zone by zone
USFS classifies 69.6% of Satsop's buildings as Direct exposure, higher than its 30.4% Indirect share and far above its 0% Minimal share — a profile where 441 structures sit close enough to vegetation that lot clearing matters most.
How Satsop compares
Satsop's 47th-percentile standing inside Washington outpaces its 29th 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, Satsop ranks 22,454 for wildfire risk (1 is highest) and 15,428 by building count (1 is largest). Within Washington alone, it ranks 333 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Shopping for coverage in Satsop
At the 29th national percentile, Satsop rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With 69.6% of Satsop 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 Satsop's figures come from
Every one of the two percentiles behind Satsop's 22,454-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Satsop's dominant direct exposure actually means, with real examples from across the dataset.