Conconully, WA
Conconully wildfire risk explained
Out of every US place USFS scores, Conconully lands at the 100th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 244 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Conconully at the 100th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Conconully's buildings actually sit
244 buildings are counted in Conconully, and 86.9% of them are Indirect exposure — ember-driven risk rather than the 13.1% in Direct exposure or the 0% rated Minimal.
How Conconully compares
Conconully's risk sits at a similar level relative to Washington (100th percentile statewide) as it does nationally (100th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Conconully ranks 78 for wildfire risk (1 is highest) and 23,348 by building count (1 is largest). Within Washington alone, it ranks 3 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Conconully and the insurance market
At the 100th percentile nationally, Conconully carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Conconully
Because 86.9% of Conconully'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 Conconully's figures come from
The methodology guide shows exactly how USFS turned 244 counted buildings into the percentiles shown above for Conconully. The exposure-zones guide covers what Conconully's dominant indirect exposure actually means, with real examples from across the dataset.