Fairfield, AL
Fairfield, AL's wildfire risk, in USFS's own numbers
Fairfield sits at the 59th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 4,602 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fairfield at the 63rd national percentile — 4 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
USFS classifies 94.8% of Fairfield's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 5% Direct and 0.2% Indirect — a landscape-level risk rather than a building-by-building one.
Where Fairfield ranks
Fairfield's 59th national percentile looks worse in isolation than its 23rd ranking inside Alabama does — this place is on the milder end for its own state, by 36 points. Among the 31,521 US communities USFS scores, Fairfield ranks 12,973 for wildfire risk (1 is highest) and 3,700 by building count (1 is largest). Within Alabama alone, it ranks 458 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Shopping for coverage in Fairfield
At the 59th national percentile, Fairfield rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Fairfield's 94.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Fairfield's figures come from
Fairfield's 59th-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 Fairfield's dominant minimal exposure actually means, with real examples from across the dataset.