Deer Park, WA
Deer Park, WA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Deer Park at the 65th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 2,240 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Deer Park's burn probability — fire likelihood with no building count factored in — sits at the 64th percentile nationally.
What "at risk" means for the buildings here
2,240 buildings are counted in Deer Park, and 68.3% of them are Indirect exposure — ember-driven risk rather than the 18.6% in Direct exposure or the 13.1% rated Minimal.
Where Deer Park ranks
Deer Park scores 65th nationally and 70th 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, Deer Park ranks 11,080 for wildfire risk (1 is highest) and 6,839 by building count (1 is largest). Within Washington alone, it ranks 192 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Deer Park and the insurance market
Deer Park's 65th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Because 68.3% of Deer Park's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Deer Park's figures come from
Every one of the two percentiles behind Deer Park's 11,080-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Deer Park's dominant indirect exposure actually means, with real examples from across the dataset.