WildfireRiskFinder

Belvedere, SC

Belvedere wildfire risk explained

Elevated
59thpercentile nationally

Belvedere's 2,997 buildings earn a 59th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Belvedere's burn probability — fire likelihood with no building count factored in — sits at the 60th percentile nationally.

What "at risk" means for the buildings here

2,997Total buildings
35.4%Direct exposure
32.1%Indirect exposure
32.5%Minimal exposure

2,997 buildings are counted in Belvedere, and 35.4% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 32.5% rated Minimal.

Where Belvedere ranks

Belvedere ranks lower within South Carolina (16th percentile statewide) than its 59th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Belvedere ranks 12,997 for wildfire risk (1 is highest) and 5,441 by building count (1 is largest). Within South Carolina alone, it ranks 399 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.

Belvedere and the insurance market

Belvedere's elevated rating (59th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Belvedere (35.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Belvedere's figures come from

The methodology guide shows exactly how USFS turned 2,997 counted buildings into the percentiles shown above for Belvedere. The exposure-zones guide covers what Belvedere's dominant direct exposure actually means, with real examples from across the dataset.