Dacusville, SC
Dacusville, SC's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Dacusville at the 68th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 319 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 Dacusville at the 72nd percentile, close to its 68th-percentile risk score.
What "at risk" means for the buildings here
Of Dacusville's 319 counted buildings, 98.1% 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.
Where Dacusville ranks
Dacusville ranks lower within South Carolina (51st percentile statewide) than its 68th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Dacusville ranks 9,966 for wildfire risk (1 is highest) and 21,129 by building count (1 is largest). Within South Carolina alone, it ranks 231 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Dacusville and the insurance market
At the 68th percentile nationally, Dacusville 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.
Hardening a home in Dacusville
Because Direct exposure dominates in Dacusville (98.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Dacusville's figures come from
Every one of the two percentiles behind Dacusville's 9,966-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dacusville's dominant direct exposure actually means, with real examples from across the dataset.