Bonanza, AR
Bonanza, AR's wildfire risk, in USFS's own numbers
USFS scores Bonanza at the 91st national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 418 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bonanza at the 93rd percentile, close to its 91st-percentile risk score.
Bonanza's building exposure, zone by zone
USFS classifies 82.3% of Bonanza's buildings as Direct exposure, higher than its 17.7% Indirect share and far above its 0% Minimal share — a profile where 344 structures sit close enough to vegetation that lot clearing matters most.
How Bonanza compares
Bonanza's risk sits at a similar level relative to Arkansas (99th percentile statewide) as it does nationally (91st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Bonanza ranks 2,982 for wildfire risk (1 is highest) and 18,854 by building count (1 is largest). Within Arkansas alone, it ranks 8 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Bonanza and the insurance market
At the 91st percentile nationally, Bonanza 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
Because Direct exposure dominates in Bonanza (82.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Bonanza's figures come from
Every one of the two percentiles behind Bonanza's 2,982-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bonanza's dominant direct exposure actually means, with real examples from across the dataset.