Garland, AR
How exposed is Garland to wildfire?
Out of every US place USFS scores, Garland lands at the 60th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 201 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Garland at the 62nd percentile, close to its 60th-percentile risk score.
What "at risk" means for the buildings here
52.7% of Garland's 201 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 47.3% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Garland compares
Garland ranks lower within Arkansas (42nd percentile statewide) than its 60th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Garland ranks 12,567 for wildfire risk (1 is highest) and 24,790 by building count (1 is largest). Within Arkansas alone, it ranks 358 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
What this risk score means for insurance
At the 60th percentile nationally, Garland 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.
What would actually reduce this score
Garland's 52.7% 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 Garland's figures come from
The methodology guide shows exactly how USFS turned 201 counted buildings into the percentiles shown above for Garland. The exposure-zones guide covers what Garland's dominant indirect exposure actually means, with real examples from across the dataset.