Langston, AL
Langston, AL's wildfire risk, in USFS's own numbers
Langston sits at the 74th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 359 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Langston at the 77th percentile, close to its 74th-percentile risk score.
Langston's building exposure, zone by zone
Of Langston's 359 counted buildings, 88.6% carry Direct exposure and only 5.3% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Langston against the rest of the country
Inside Alabama, Langston sits at just the 55th percentile even though it scores 74th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Langston ranks 8,276 for wildfire risk (1 is highest) and 20,077 by building count (1 is largest). Within Alabama alone, it ranks 266 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Langston and the insurance market
At the 74th percentile nationally, Langston 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 Langston
Because Direct exposure dominates in Langston (88.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Langston's figures come from
Langston's 74th-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 Langston's dominant direct exposure actually means, with real examples from across the dataset.