Mount Ida, AR
Mount Ida wildfire risk explained
Mount Ida sits at the 72nd 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 687 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Mount Ida at the 75th percentile, close to its 72nd-percentile risk score.
Mount Ida's building exposure, zone by zone
687 buildings are counted in Mount Ida, and 57.2% of them are Indirect exposure — ember-driven risk rather than the 42.8% in Direct exposure or the 0% rated Minimal.
Mount Ida against the rest of the country
Mount Ida scores 72nd nationally and 59th within Arkansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Mount Ida ranks 8,813 for wildfire risk (1 is highest) and 14,790 by building count (1 is largest). Within Arkansas alone, it ranks 255 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Mount Ida and the insurance market
At the 72nd percentile nationally, Mount Ida 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.
Hardening a home in Mount Ida
Mount Ida's 57.2% 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 Mount Ida's figures come from
Every one of the two percentiles behind Mount Ida's 8,813-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mount Ida's dominant indirect exposure actually means, with real examples from across the dataset.