WildfireRiskFinder

Dillon, SC

Dillon, SC's wildfire risk, in USFS's own numbers

High
79thpercentile nationally

Dillon's 3,368 buildings earn a 79th-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dillon at the 80th percentile, close to its 79th-percentile risk score.

Where Dillon's buildings actually sit

3,368Total buildings
27.7%Direct exposure
71.1%Indirect exposure
1.2%Minimal exposure

Indirect exposure is dominant in Dillon (71.1% of 3,368 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 27.7% sit in the Direct zone.

How Dillon compares

There's little gap between Dillon's 79th national percentile and its 81st 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, Dillon ranks 6,752 for wildfire risk (1 is highest) and 4,960 by building count (1 is largest). Within South Carolina alone, it ranks 91 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.

Dillon and the insurance market

Dillon's high rating (79th 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.

Hardening a home in Dillon

Because 71.1% of Dillon'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 Dillon's figures come from

Every one of the two percentiles behind Dillon's 6,752-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dillon's dominant indirect exposure actually means, with real examples from across the dataset.