Gueydan, LA
Gueydan, LA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Gueydan lands at the 31st percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 895 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Gueydan at the 33rd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Gueydan's buildings actually sit
Most of Gueydan's buildings (96.4% of 895) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Gueydan ranks
There's little gap between Gueydan's 31st national percentile and its 30th percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Gueydan ranks 21,803 for wildfire risk (1 is highest) and 12,769 by building count (1 is largest). Within Louisiana alone, it ranks 340 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Gueydan
Gueydan's moderate rating (31st 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
Even with 96.4% of Gueydan outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Gueydan's figures come from
Gueydan's 31st-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 Gueydan's dominant minimal exposure actually means, with real examples from across the dataset.