Raemon, NC
How exposed is Raemon to wildfire?
Raemon's 244 buildings earn a 83rd-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Raemon at the 84th percentile, close to its 83rd-percentile risk score.
What "at risk" means for the buildings here
90.6% of Raemon's 244 buildings sit in USFS's Direct exposure zone, roughly 221 structures close enough to burnable vegetation for flame contact, not just embers — 9.4% fall in the Indirect, ember-only zone and 0% are Minimal.
Raemon against the rest of the country
There's little gap between Raemon's 83rd national percentile and its 91st percentile inside North Carolina, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Raemon ranks 5,264 for wildfire risk (1 is highest) and 23,341 by building count (1 is largest). Within North Carolina alone, it ranks 68 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
What this risk score means for insurance
Raemon's 83rd-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Raemon
Raemon's 90.6% 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 Raemon's figures come from
Raemon's 83rd-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 Raemon's dominant direct exposure actually means, with real examples from across the dataset.