MacArthur, WV
How exposed is MacArthur to wildfire?
Out of every US place USFS scores, MacArthur lands at the 61st percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 945 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks MacArthur at the 63rd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where MacArthur's buildings actually sit
60.9% of MacArthur's 945 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 39.2% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How MacArthur compares
MacArthur scores 61st nationally and 50th within West Virginia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, MacArthur ranks 12,435 for wildfire risk (1 is highest) and 12,347 by building count (1 is largest). Within West Virginia alone, it ranks 215 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in MacArthur
MacArthur's high rating (61st 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.
Lowering exposure, not just insuring around it
Because 60.9% of MacArthur'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 MacArthur's figures come from
MacArthur's 61st-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 MacArthur's dominant indirect exposure actually means, with real examples from across the dataset.