Sangaree, SC
Sangaree, SC's wildfire risk, in USFS's own numbers
Sangaree's 3,130 buildings earn a 69th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sangaree at the 67th national percentile — 2 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
Most of Sangaree's buildings (62.7%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Sangaree against the rest of the country
Inside South Carolina, Sangaree sits at just the 54th percentile even though it scores 69th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Sangaree ranks 9,810 for wildfire risk (1 is highest) and 5,254 by building count (1 is largest). Within South Carolina alone, it ranks 220 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Shopping for coverage in Sangaree
Sangaree'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 ember exposure the dominant pattern in Sangaree (62.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Sangaree's figures come from
Every one of the two percentiles behind Sangaree's 9,810-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sangaree's dominant indirect exposure actually means, with real examples from across the dataset.