Juliaetta, ID
Juliaetta wildfire risk explained
Juliaetta sits at the 88th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 432 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Juliaetta at the 89th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Juliaetta (58.6% of 432 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 41.4% sit in the Direct zone.
How Juliaetta compares
Juliaetta's 88th national percentile looks worse in isolation than its 63rd ranking inside Idaho does — this place is on the milder end for its own state, by 25 points. Among the 31,521 US communities USFS scores, Juliaetta ranks 3,750 for wildfire risk (1 is highest) and 18,603 by building count (1 is largest). Within Idaho alone, it ranks 87 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
What this risk score means for insurance
At the 88th percentile nationally, Juliaetta 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 Juliaetta
With ember exposure the dominant pattern in Juliaetta (58.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Juliaetta's figures come from
Juliaetta's 88th-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 Juliaetta's dominant indirect exposure actually means, with real examples from across the dataset.