Hector, AR
Hector, AR's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Hector lands at the 83rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 393 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Hector at the 87th national percentile — 4 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Hector's buildings actually sit
USFS classifies 90.3% of Hector's buildings as Direct exposure, higher than its 9.7% Indirect share and far above its 0% Minimal share — a profile where 355 structures sit close enough to vegetation that lot clearing matters most.
Where Hector ranks
There's little gap between Hector's 83rd national percentile and its 90th percentile inside Arkansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Hector ranks 5,252 for wildfire risk (1 is highest) and 19,346 by building count (1 is largest). Within Arkansas alone, it ranks 64 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Shopping for coverage in Hector
Hector's very high rating (83rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
Hector's 90.3% 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 Hector's figures come from
Every one of the two percentiles behind Hector's 5,252-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hector's dominant direct exposure actually means, with real examples from across the dataset.