Uniontown, WA
Uniontown, WA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Uniontown at the 4th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 324 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Uniontown's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 67.3% of Uniontown's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 32.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Uniontown against the rest of the country
Uniontown's risk sits at a similar level relative to Washington (0th percentile statewide) as it does nationally (4th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Uniontown ranks 30,244 for wildfire risk (1 is highest) and 20,996 by building count (1 is largest). Within Washington alone, it ranks 628 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Uniontown and the insurance market
Uniontown's low wildfire rating (4th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With 67.3% of buildings rated Minimal exposure, Uniontown gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Uniontown's figures come from
Uniontown's 4th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Uniontown's dominant minimal exposure actually means, with real examples from across the dataset.