WildfireRiskFinder

Freeland, WA

Freeland wildfire risk explained

Low
18thpercentile nationally

Freeland sits at the 18th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 1,418 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Freeland's burn probability — fire likelihood with no building count factored in — sits at the 18th percentile nationally.

Freeland's building exposure, zone by zone

1,418Total buildings
39.4%Direct exposure
58%Indirect exposure
2.6%Minimal exposure

1,418 buildings are counted in Freeland, and 58% of them are Indirect exposure — ember-driven risk rather than the 39.4% in Direct exposure or the 2.6% rated Minimal.

How Freeland compares

There's little gap between Freeland's 18th national percentile and its 26th percentile inside Washington, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Freeland ranks 25,732 for wildfire risk (1 is highest) and 9,551 by building count (1 is largest). Within Washington alone, it ranks 463 of 628 places by risk. See the full county-by-county picture for Washington on its state page.

What this risk score means for insurance

At the 18th national percentile, Freeland rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Freeland

Because 58% of Freeland'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 Freeland's figures come from

The methodology guide shows exactly how USFS turned 1,418 counted buildings into the percentiles shown above for Freeland. The exposure-zones guide covers what Freeland's dominant indirect exposure actually means, with real examples from across the dataset.