Dunnavant, AL
Dunnavant, AL's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Dunnavant at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 614 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Dunnavant at the 80th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Dunnavant's building exposure, zone by zone
614 buildings are counted in Dunnavant, and 100% 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 Dunnavant ranks
Dunnavant scores 78th nationally and 68th within Alabama — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Dunnavant ranks 7,078 for wildfire risk (1 is highest) and 15,638 by building count (1 is largest). Within Alabama alone, it ranks 188 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Dunnavant and the insurance market
At the 78th percentile nationally, Dunnavant 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.
Lowering exposure, not just insuring around it
With 100% of Dunnavant 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 Dunnavant's figures come from
Dunnavant's 78th-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 Dunnavant's dominant direct exposure actually means, with real examples from across the dataset.