Winchester, ID
Winchester, ID's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Winchester at the 98th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 292 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Winchester at the 98th 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
80.5% of Winchester's 292 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 19.5% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Winchester compares
Winchester scores 98th nationally and 89th within Idaho — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Winchester ranks 697 for wildfire risk (1 is highest) and 21,846 by building count (1 is largest). Within Idaho alone, it ranks 27 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 98th percentile nationally, Winchester 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.
What would actually reduce this score
With ember exposure the dominant pattern in Winchester (80.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Winchester's figures come from
Every one of the two percentiles behind Winchester's 697-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Winchester's dominant indirect exposure actually means, with real examples from across the dataset.