Leola, AR
Leola wildfire risk explained
Leola sits at the 54th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 318 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Leola at the 56th national percentile — 2 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
Most of Leola's buildings (70.4%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Leola ranks
Inside Arkansas, Leola sits at just the 31st percentile even though it scores 54th 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, Leola ranks 14,456 for wildfire risk (1 is highest) and 21,142 by building count (1 is largest). Within Arkansas alone, it ranks 428 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Leola and the insurance market
At the 54th national percentile, Leola rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Leola's 70.4% 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 Leola's figures come from
Every one of the two percentiles behind Leola's 14,456-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Leola's dominant indirect exposure actually means, with real examples from across the dataset.