West Point, AL
West Point, AL's wildfire risk, in USFS's own numbers
USFS scores West Point at the 74th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 537 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts West Point at the 78th percentile, close to its 74th-percentile risk score.
Where West Point's buildings actually sit
Direct exposure dominates in West Point: 83.4% of its 537 buildings, versus 16.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How West Point compares
Inside Alabama, West Point sits at just the 56th 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, West Point ranks 8,150 for wildfire risk (1 is highest) and 16,760 by building count (1 is largest). Within Alabama alone, it ranks 260 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
West Point and the insurance market
At the 74th percentile nationally, West Point 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
Because Direct exposure dominates in West Point (83.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where West Point's figures come from
West Point'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 West Point's dominant direct exposure actually means, with real examples from across the dataset.