Grandview, WA
How exposed is Grandview to wildfire?
Grandview sits at the 85th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 3,627 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Grandview at the 86th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Grandview's building exposure, zone by zone
Grandview rates 90.7% Minimal exposure against just 9.3% Direct and 0% Indirect — of 3,627 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Grandview compares
Grandview's risk sits at a similar level relative to Washington (76th percentile statewide) as it does nationally (85th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Grandview ranks 4,869 for wildfire risk (1 is highest) and 4,625 by building count (1 is largest). Within Washington alone, it ranks 151 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Shopping for coverage in Grandview
Grandview's very high rating (85th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
Even with 90.7% of Grandview outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Grandview's figures come from
Grandview's 85th-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 Grandview's dominant minimal exposure actually means, with real examples from across the dataset.