Sycamore, SC
Sycamore wildfire risk explained
USFS's Wildfire Risk to Communities model puts Sycamore at the 69th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 164 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sycamore at the 69th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Of Sycamore's 164 counted buildings, 75.6% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Sycamore compares
Sycamore scores 69th nationally and 56th 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, Sycamore ranks 9,652 for wildfire risk (1 is highest) and 26,266 by building count (1 is largest). Within South Carolina alone, it ranks 209 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Shopping for coverage in Sycamore
Sycamore's high rating (69th 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
With 75.6% of Sycamore in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Sycamore's figures come from
Sycamore's 69th-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 Sycamore's dominant direct exposure actually means, with real examples from across the dataset.