Autryville, NC
Autryville wildfire risk explained
Autryville's 193 buildings earn a 69th-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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Autryville at the 68th percentile, close to its 69th-percentile risk score.
Autryville's building exposure, zone by zone
Direct exposure dominates in Autryville: 50.8% of its 193 buildings, versus 49.2% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Autryville ranks
Autryville scores 69th nationally and 68th 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, Autryville ranks 9,933 for wildfire risk (1 is highest) and 25,129 by building count (1 is largest). Within North Carolina alone, it ranks 246 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
At the 69th percentile nationally, Autryville 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.
Hardening a home in Autryville
With 50.8% of Autryville 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 Autryville's figures come from
Every one of the two percentiles behind Autryville's 9,933-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Autryville's dominant direct exposure actually means, with real examples from across the dataset.