Omak, WA
Omak, WA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Omak at the 96th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 2,416 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Omak at the 97th percentile, close to its 96th-percentile risk score.
Omak's building exposure, zone by zone
50.9% of Omak's 2,416 buildings sit in USFS's Minimal exposure zone, with only 3.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Omak compares
There's little gap between Omak's 96th national percentile and its 90th percentile inside Washington, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Omak ranks 1,181 for wildfire risk (1 is highest) and 6,475 by building count (1 is largest). Within Washington alone, it ranks 61 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Omak and the insurance market
Omak's 96th-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
Omak's 50.9% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Omak's figures come from
The methodology guide shows exactly how USFS turned 2,416 counted buildings into the percentiles shown above for Omak. The exposure-zones guide covers what Omak's dominant minimal exposure actually means, with real examples from across the dataset.