Eureka Mill, SC
Eureka Mill wildfire risk explained
Eureka Mill's 822 buildings earn a 61st-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.)
Separately from the risk score above, Eureka Mill's burn probability — fire likelihood with no building count factored in — sits at the 64th percentile nationally.
Eureka Mill's building exposure, zone by zone
66.4% of Eureka Mill's 822 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 33.6% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Eureka Mill ranks
Eureka Mill's 61st national percentile looks worse in isolation than its 21st ranking inside South Carolina does — this place is on the milder end for its own state, by 40 points. Among the 31,521 US communities USFS scores, Eureka Mill ranks 12,366 for wildfire risk (1 is highest) and 13,428 by building count (1 is largest). Within South Carolina alone, it ranks 377 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Eureka Mill and the insurance market
At the 61st percentile nationally, Eureka Mill 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.
Lowering exposure, not just insuring around it
Because 66.4% of Eureka Mill's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Eureka Mill's figures come from
Every one of the two percentiles behind Eureka Mill's 12,366-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Eureka Mill's dominant indirect exposure actually means, with real examples from across the dataset.