Eden, ID
How exposed is Eden to wildfire?
USFS scores Eden at the 94th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 232 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Eden at the 94th percentile, close to its 94th-percentile risk score.
Eden's building exposure, zone by zone
232 buildings are counted in Eden, and 79.3% of them are Indirect exposure — ember-driven risk rather than the 20.7% in Direct exposure or the 0% rated Minimal.
Eden against the rest of the country
Eden ranks lower within Idaho (76th percentile statewide) than its 94th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Eden ranks 1,858 for wildfire risk (1 is highest) and 23,729 by building count (1 is largest). Within Idaho alone, it ranks 57 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
Shopping for coverage in Eden
Eden's 94th-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.
Lowering exposure, not just insuring around it
Eden's 79.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Eden's figures come from
Every one of the two percentiles behind Eden's 1,858-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Eden's dominant indirect exposure actually means, with real examples from across the dataset.