Cameron, NC
Cameron, NC's wildfire risk, in USFS's own numbers
Cameron's 238 buildings earn a 77th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Cameron at the 78th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
238 buildings are counted in Cameron, and 95% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Cameron ranks
Cameron's risk sits at a similar level relative to North Carolina (79th percentile statewide) as it does nationally (77th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Cameron ranks 7,379 for wildfire risk (1 is highest) and 23,538 by building count (1 is largest). Within North Carolina alone, it ranks 166 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
Cameron's 77th-percentile, 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.
What would actually reduce this score
Cameron's 95% 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 Cameron's figures come from
Every one of the two percentiles behind Cameron's 7,379-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cameron's dominant direct exposure actually means, with real examples from across the dataset.