Blacksburg, SC
Blacksburg, SC's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Blacksburg at the 60th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 1,106 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Blacksburg's burn probability — fire likelihood with no building count factored in — sits at the 63rd percentile nationally.
Blacksburg's building exposure, zone by zone
53.1% of Blacksburg's 1,106 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 46.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Blacksburg compares
Inside South Carolina, Blacksburg sits at just the 18th percentile even though it scores 60th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Blacksburg ranks 12,712 for wildfire risk (1 is highest) and 11,247 by building count (1 is largest). Within South Carolina alone, it ranks 387 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 60th national percentile, Blacksburg rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Blacksburg
Blacksburg's 53.1% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Blacksburg's figures come from
Blacksburg's 60th-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 Blacksburg's dominant indirect exposure actually means, with real examples from across the dataset.