McCall, ID
McCall, ID's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, McCall lands at the 96th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 3,644 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks McCall at the 97th national percentile — 1 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
Of McCall's 3,644 counted buildings, 57.9% carry Direct exposure and only 0.6% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How McCall compares
McCall's risk sits at a similar level relative to Idaho (83rd percentile statewide) as it does nationally (96th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, McCall ranks 1,198 for wildfire risk (1 is highest) and 4,596 by building count (1 is largest). Within Idaho alone, it ranks 40 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
McCall and the insurance market
McCall's 96th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
McCall's 57.9% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where McCall's figures come from
Every one of the two percentiles behind McCall's 1,198-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what McCall's dominant direct exposure actually means, with real examples from across the dataset.