Etowah, NC
Etowah wildfire risk explained
USFS's Wildfire Risk to Communities model puts Etowah at the 63rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 4,267 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Etowah at the 66th percentile, close to its 63rd-percentile risk score.
What "at risk" means for the buildings here
Direct exposure dominates in Etowah: 86% of its 4,267 buildings, versus 14% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Etowah against the rest of the country
Etowah scores 63rd nationally and 62nd within North 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, Etowah ranks 11,729 for wildfire risk (1 is highest) and 4,003 by building count (1 is largest). Within North Carolina alone, it ranks 296 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Etowah and the insurance market
At the 63rd percentile nationally, Etowah 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.
What would actually reduce this score
With 86% of Etowah 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 Etowah's figures come from
Every one of the two percentiles behind Etowah's 11,729-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Etowah's dominant direct exposure actually means, with real examples from across the dataset.