Grace, ID
Grace wildfire risk explained
Grace sits at the 75th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 591 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Grace's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.
Grace's building exposure, zone by zone
81.6% of Grace's 591 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 18.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Grace against the rest of the country
Inside Idaho, Grace sits at just the 41st percentile even though it scores 75th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Grace ranks 7,970 for wildfire risk (1 is highest) and 15,946 by building count (1 is largest). Within Idaho alone, it ranks 138 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
Grace and the insurance market
At the 75th percentile nationally, Grace carries the 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.
Lowering exposure, not just insuring around it
Grace's 81.6% 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 Grace's figures come from
The methodology guide shows exactly how USFS turned 591 counted buildings into the percentiles shown above for Grace. The exposure-zones guide covers what Grace's dominant indirect exposure actually means, with real examples from across the dataset.