Acorn, AR
Acorn wildfire risk explained
Acorn sits at the 81st percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 331 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Acorn at the 85th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Acorn's buildings actually sit
Of Acorn's 331 counted buildings, 94% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Acorn compares
There's little gap between Acorn's 81st national percentile and its 86th percentile inside Arkansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Acorn ranks 5,852 for wildfire risk (1 is highest) and 20,784 by building count (1 is largest). Within Arkansas alone, it ranks 89 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 81st percentile nationally, Acorn carries the very 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
Acorn's 94% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Acorn's figures come from
The methodology guide shows exactly how USFS turned 331 counted buildings into the percentiles shown above for Acorn. The exposure-zones guide covers what Acorn's dominant direct exposure actually means, with real examples from across the dataset.