Republic, WA
Republic wildfire risk explained
Republic sits at the 97th 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 656 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Republic's burn probability — fire likelihood with no building count factored in — sits at the 98th percentile nationally.
What "at risk" means for the buildings here
Indirect exposure is dominant in Republic (68.5% of 656 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 31.6% sit in the Direct zone.
How Republic compares
Republic's risk sits at a similar level relative to Washington (94th percentile statewide) as it does nationally (97th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Republic ranks 835 for wildfire risk (1 is highest) and 15,123 by building count (1 is largest). Within Washington alone, it ranks 39 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Republic and the insurance market
Republic's 97th-percentile, very 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.
Lowering exposure, not just insuring around it
Because 68.5% of Republic'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 Republic's figures come from
The methodology guide shows exactly how USFS turned 656 counted buildings into the percentiles shown above for Republic. The exposure-zones guide covers what Republic's dominant indirect exposure actually means, with real examples from across the dataset.