Longstreet, LA
Longstreet, LA's wildfire risk, in USFS's own numbers
Longstreet 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 150 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 Longstreet at the 60th percentile, close to its 59th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 87.3% of Longstreet's buildings as Direct exposure, higher than its 12.7% Indirect share and far above its 0% Minimal share — a profile where 131 structures sit close enough to vegetation that lot clearing matters most.
Longstreet against the rest of the country
Compare Longstreet's two percentiles: 75th within Louisiana, only 59th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Longstreet ranks 12,825 for wildfire risk (1 is highest) and 26,880 by building count (1 is largest). Within Louisiana alone, it ranks 122 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Longstreet and the insurance market
At the 59th national percentile, Longstreet 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
Because Direct exposure dominates in Longstreet (87.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Longstreet's figures come from
Longstreet'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 Longstreet's dominant direct exposure actually means, with real examples from across the dataset.