Lincoln, AL
How exposed is Lincoln to wildfire?
Lincoln sits at the 82nd percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 4,202 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lincoln's burn probability — fire likelihood with no building count factored in — sits at the 85th percentile nationally.
Where Lincoln's buildings actually sit
Of Lincoln's 4,202 counted buildings, 86.1% carry Direct exposure and only 4% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Lincoln against the rest of the country
There's little gap between Lincoln's 82nd national percentile and its 81st percentile inside Alabama, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lincoln ranks 5,722 for wildfire risk (1 is highest) and 4,056 by building count (1 is largest). Within Alabama alone, it ranks 112 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Lincoln and the insurance market
Lincoln's very high rating (82nd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Lincoln
With 86.1% of Lincoln 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 Lincoln's figures come from
Lincoln's 82nd-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 Lincoln's dominant direct exposure actually means, with real examples from across the dataset.