Wabbaseka, AR
How exposed is Wabbaseka to wildfire?
Out of every US place USFS scores, Wabbaseka lands at the 12th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 162 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 Wabbaseka at the 11th percentile, close to its 12th-percentile risk score.
What "at risk" means for the buildings here
77.8% of Wabbaseka's 162 buildings sit in USFS's Minimal exposure zone, with only 22.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Wabbaseka against the rest of the country
There's little gap between Wabbaseka's 12th national percentile and its 6th percentile inside Arkansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Wabbaseka ranks 27,660 for wildfire risk (1 is highest) and 26,319 by building count (1 is largest). Within Arkansas alone, it ranks 579 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Wabbaseka and the insurance market
At the 12th national percentile, Wabbaseka rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Wabbaseka's 77.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Wabbaseka's figures come from
Every one of the two percentiles behind Wabbaseka's 27,660-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wabbaseka's dominant minimal exposure actually means, with real examples from across the dataset.