Livingston, AL
Livingston, AL's wildfire risk, in USFS's own numbers
Livingston's 1,423 buildings earn a 58th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Livingston at the 60th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Livingston's building exposure, zone by zone
USFS classifies 70% of Livingston's buildings as Direct exposure, higher than its 30% Indirect share and far above its 0% Minimal share — a profile where 996 structures sit close enough to vegetation that lot clearing matters most.
How Livingston compares
Livingston ranks lower within Alabama (21st percentile statewide) than its 58th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Livingston ranks 13,162 for wildfire risk (1 is highest) and 9,515 by building count (1 is largest). Within Alabama alone, it ranks 467 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
What this risk score means for insurance
Livingston's elevated rating (58th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 70% of Livingston 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 Livingston's figures come from
Every one of the two percentiles behind Livingston's 13,162-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Livingston's dominant direct exposure actually means, with real examples from across the dataset.