Piggott, AR
How exposed is Piggott to wildfire?
Piggott sits at the 40th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 2,426 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Piggott at the 42nd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Piggott (54.5% of 2,426 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 43.5% sit in the Direct zone.
Piggott against the rest of the country
Piggott ranks lower within Arkansas (19th percentile statewide) than its 40th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Piggott ranks 18,994 for wildfire risk (1 is highest) and 6,447 by building count (1 is largest). Within Arkansas alone, it ranks 499 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Piggott and the insurance market
At the 40th national percentile, Piggott rates moderate 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
Because 54.5% of Piggott's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Piggott's figures come from
Piggott's 40th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Piggott's dominant indirect exposure actually means, with real examples from across the dataset.