Ashwood, SC
Ashwood wildfire risk explained
USFS scores Ashwood at the 73rd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 148 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ashwood at the 73rd national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Ashwood's building exposure, zone by zone
USFS classifies 69.6% of Ashwood's buildings as Direct exposure, higher than its 30.4% Indirect share and far above its 0% Minimal share — a profile where 103 structures sit close enough to vegetation that lot clearing matters most.
Where Ashwood ranks
There's little gap between Ashwood's 73rd national percentile and its 69th 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, Ashwood ranks 8,483 for wildfire risk (1 is highest) and 26,967 by building count (1 is largest). Within South Carolina alone, it ranks 147 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Shopping for coverage in Ashwood
At the 73rd percentile nationally, Ashwood 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
Ashwood's 69.6% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Ashwood's figures come from
The methodology guide shows exactly how USFS turned 148 counted buildings into the percentiles shown above for Ashwood. The exposure-zones guide covers what Ashwood's dominant direct exposure actually means, with real examples from across the dataset.