Tanglewilde, WA
Tanglewilde wildfire risk explained
USFS scores Tanglewilde at the 14th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 1,959 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tanglewilde at the 15th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Tanglewilde's building exposure, zone by zone
Tanglewilde rates 78.4% Minimal exposure against just 1.5% Direct and 20.1% Indirect — of 1,959 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Tanglewilde compares
There's little gap between Tanglewilde's 14th national percentile and its 17th percentile inside Washington, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Tanglewilde ranks 27,186 for wildfire risk (1 is highest) and 7,595 by building count (1 is largest). Within Washington alone, it ranks 524 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Tanglewilde and the insurance market
Tanglewilde's low wildfire rating (14th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With 78.4% of buildings rated Minimal exposure, Tanglewilde gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Tanglewilde's figures come from
The methodology guide shows exactly how USFS turned 1,959 counted buildings into the percentiles shown above for Tanglewilde. The exposure-zones guide covers what Tanglewilde's dominant minimal exposure actually means, with real examples from across the dataset.