Prien, LA
How exposed is Prien to wildfire?
Out of every US place USFS scores, Prien lands at the 72nd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 3,866 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Prien at the 73rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Prien's buildings (66.8% of 3,866) 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 Prien ranks
There's little gap between Prien's 72nd national percentile and its 86th percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Prien ranks 8,788 for wildfire risk (1 is highest) and 4,369 by building count (1 is largest). Within Louisiana alone, it ranks 68 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
What this risk score means for insurance
At the 72nd percentile nationally, Prien 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.
Hardening a home in Prien
Even with 66.8% of Prien 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 Prien's figures come from
Every one of the two percentiles behind Prien's 8,788-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Prien's dominant minimal exposure actually means, with real examples from across the dataset.