Halley, AR
How exposed is Halley to wildfire?
Out of every US place USFS scores, Halley lands at the 26th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 53 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Halley at the 26th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Halley's building exposure, zone by zone
Direct exposure dominates in Halley: 81.1% of its 53 buildings, versus 0% Indirect and 18.9% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Halley ranks
There's little gap between Halley's 26th national percentile and its 12th percentile inside Arkansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Halley ranks 23,312 for wildfire risk (1 is highest) and 30,841 by building count (1 is largest). Within Arkansas alone, it ranks 540 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Halley and the insurance market
Halley's moderate wildfire rating (26th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Halley's 81.1% 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 Halley's figures come from
Every one of the two percentiles behind Halley's 23,312-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Halley's dominant direct exposure actually means, with real examples from across the dataset.