Grosse Tete, LA
Grosse Tete, LA's wildfire risk, in USFS's own numbers
Grosse Tete sits at the 14th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 404 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 Grosse Tete at the 14th percentile, close to its 14th-percentile risk score.
Grosse Tete's building exposure, zone by zone
Direct exposure dominates in Grosse Tete: 53.7% of its 404 buildings, versus 46.3% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Grosse Tete compares
There's little gap between Grosse Tete's 14th national percentile and its 10th percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Grosse Tete ranks 27,163 for wildfire risk (1 is highest) and 19,137 by building count (1 is largest). Within Louisiana alone, it ranks 439 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Grosse Tete
Grosse Tete's low rating (14th 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
Because Direct exposure dominates in Grosse Tete (53.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Grosse Tete's figures come from
Grosse Tete's 14th-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 Grosse Tete's dominant direct exposure actually means, with real examples from across the dataset.