Paincourtville, LA
How exposed is Paincourtville to wildfire?
Paincourtville's 574 buildings earn a 6th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Paincourtville at the 6th percentile, close to its 6th-percentile risk score.
Paincourtville's building exposure, zone by zone
Most of Paincourtville's buildings (84.7% of 574) 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.
How Paincourtville compares
There's little gap between Paincourtville's 6th national percentile and its 1st percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Paincourtville ranks 29,757 for wildfire risk (1 is highest) and 16,180 by building count (1 is largest). Within Louisiana alone, it ranks 483 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Paincourtville
At the 6th national percentile, Paincourtville rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Paincourtville
Even with 84.7% of Paincourtville 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 Paincourtville's figures come from
Every one of the two percentiles behind Paincourtville's 29,757-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Paincourtville's dominant minimal exposure actually means, with real examples from across the dataset.