Cane Savannah, SC
Cane Savannah wildfire risk explained
USFS's Wildfire Risk to Communities model puts Cane Savannah at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 733 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 Cane Savannah at the 79th percentile, close to its 78th-percentile risk score.
What "at risk" means for the buildings here
Of Cane Savannah's 733 counted buildings, 96.5% 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 Cane Savannah compares
There's little gap between Cane Savannah's 78th national percentile and its 80th percentile inside South Carolina, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Cane Savannah ranks 6,845 for wildfire risk (1 is highest) and 14,300 by building count (1 is largest). Within South Carolina alone, it ranks 95 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
What this risk score means for insurance
At the 78th percentile nationally, Cane Savannah carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Because Direct exposure dominates in Cane Savannah (96.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Cane Savannah's figures come from
Cane Savannah's 78th-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 Cane Savannah's dominant direct exposure actually means, with real examples from across the dataset.