Hardeeville, SC
How exposed is Hardeeville to wildfire?
USFS scores Hardeeville at the 79th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 2,545 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hardeeville's burn probability — fire likelihood with no building count factored in — sits at the 77th percentile nationally.
Where Hardeeville's buildings actually sit
54.6% of Hardeeville's 2,545 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 44.8% Direct and 0.6% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Hardeeville compares
Hardeeville scores 79th nationally and 82nd within South Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Hardeeville ranks 6,564 for wildfire risk (1 is highest) and 6,216 by building count (1 is largest). Within South Carolina alone, it ranks 87 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Shopping for coverage in Hardeeville
Hardeeville's high rating (79th 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
Because 54.6% of Hardeeville'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 Hardeeville's figures come from
Every one of the two percentiles behind Hardeeville's 6,564-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hardeeville's dominant indirect exposure actually means, with real examples from across the dataset.