WildfireRiskFinder

Dixie, WA

Dixie wildfire risk explained

Low
16thpercentile nationally

USFS's Wildfire Risk to Communities model puts Dixie at the 16th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 179 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 Dixie at the 14th percentile, close to its 16th-percentile risk score.

Where Dixie's buildings actually sit

179Total buildings
36.9%Direct exposure
63.1%Indirect exposure
0%Minimal exposure

USFS puts 63.1% of Dixie's 179 buildings in the Indirect exposure zone, versus 36.9% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Dixie compares

There's little gap between Dixie's 16th national percentile and its 22nd percentile inside Washington, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Dixie ranks 26,363 for wildfire risk (1 is highest) and 25,693 by building count (1 is largest). Within Washington alone, it ranks 488 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 16th national percentile, Dixie rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

With ember exposure the dominant pattern in Dixie (63.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Dixie's figures come from

Every one of the two percentiles behind Dixie's 26,363-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dixie's dominant indirect exposure actually means, with real examples from across the dataset.