WildfireRiskFinder

Spangle, WA

Spangle, WA's wildfire risk, in USFS's own numbers

Elevated
43rdpercentile nationally

USFS's Wildfire Risk to Communities model puts Spangle at the 43rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 249 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 Spangle at the 42nd percentile, close to its 43rd-percentile risk score.

What "at risk" means for the buildings here

249Total buildings
8.4%Direct exposure
0%Indirect exposure
91.6%Minimal exposure

Most of Spangle's buildings (91.6% of 249) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Where Spangle ranks

Compare Spangle's two percentiles: 59th within Washington, only 43rd nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Spangle ranks 17,949 for wildfire risk (1 is highest) and 23,189 by building count (1 is largest). Within Washington alone, it ranks 259 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

Spangle's elevated rating (43rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Spangle

With 91.6% of buildings rated Minimal exposure, Spangle gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Spangle's figures come from

The methodology guide shows exactly how USFS turned 249 counted buildings into the percentiles shown above for Spangle. The exposure-zones guide covers what Spangle's dominant minimal exposure actually means, with real examples from across the dataset.