East Sumter, SC
East Sumter wildfire risk explained
USFS's Wildfire Risk to Communities model puts East Sumter at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 839 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts East Sumter at the 78th percentile, close to its 78th-percentile risk score.
Where East Sumter's buildings actually sit
839 buildings are counted in East Sumter, and 73.4% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where East Sumter ranks
East Sumter's risk sits at a similar level relative to South Carolina (80th percentile statewide) as it does nationally (78th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, East Sumter ranks 6,811 for wildfire risk (1 is highest) and 13,265 by building count (1 is largest). Within South Carolina alone, it ranks 94 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Shopping for coverage in East Sumter
East Sumter's high rating (78th 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
East Sumter's 73.4% 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 East Sumter's figures come from
Every one of the two percentiles behind East Sumter's 6,811-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what East Sumter's dominant direct exposure actually means, with real examples from across the dataset.