Daviston, SC
Daviston, SC's wildfire risk, in USFS's own numbers
Daviston sits at the 70th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 266 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Daviston at the 71st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Daviston's buildings actually sit
Direct exposure dominates in Daviston: 98.5% of its 266 buildings, versus 1.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Daviston against the rest of the country
Daviston scores 70th nationally and 57th within South Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Daviston ranks 9,589 for wildfire risk (1 is highest) and 22,650 by building count (1 is largest). Within South Carolina alone, it ranks 205 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Daviston and the insurance market
Daviston's high rating (70th 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.
Lowering exposure, not just insuring around it
With 98.5% of Daviston in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Daviston's figures come from
The methodology guide shows exactly how USFS turned 266 counted buildings into the percentiles shown above for Daviston. The exposure-zones guide covers what Daviston's dominant direct exposure actually means, with real examples from across the dataset.