Potters Hill, NC
Potters Hill, NC's wildfire risk, in USFS's own numbers
USFS scores Potters Hill at the 63rd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 427 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Potters Hill at the 62nd percentile, close to its 63rd-percentile risk score.
What "at risk" means for the buildings here
Direct exposure dominates in Potters Hill: 86% of its 427 buildings, versus 14.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Potters Hill against the rest of the country
Potters Hill's risk sits at a similar level relative to North Carolina (61st percentile statewide) as it does nationally (63rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Potters Hill ranks 11,823 for wildfire risk (1 is highest) and 18,715 by building count (1 is largest). Within North Carolina alone, it ranks 303 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Potters Hill and the insurance market
Potters Hill's high rating (63rd 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 Potters Hill
Because Direct exposure dominates in Potters Hill (86%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Potters Hill's figures come from
Every one of the two percentiles behind Potters Hill's 11,823-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Potters Hill's dominant direct exposure actually means, with real examples from across the dataset.