Alderton, WA
Alderton wildfire risk explained
Alderton sits at the 21st 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 1,993 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Alderton at the 22nd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Alderton's buildings actually sit
Only 15.6% of Alderton's 1,993 buildings carry Direct exposure and 20.2% carry Indirect; the remaining 64.2% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Alderton against the rest of the country
Alderton scores 21st nationally and 32nd within Washington — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Alderton ranks 25,008 for wildfire risk (1 is highest) and 7,501 by building count (1 is largest). Within Washington alone, it ranks 427 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
At the 21st national percentile, Alderton rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Alderton
With 64.2% of buildings rated Minimal exposure, Alderton gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Alderton's figures come from
Alderton's 21st-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 Alderton's dominant minimal exposure actually means, with real examples from across the dataset.