Marthaville, LA
How exposed is Marthaville to wildfire?
Marthaville sits at the 66th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 158 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Marthaville's burn probability — fire likelihood with no building count factored in — sits at the 67th percentile nationally.
Marthaville's building exposure, zone by zone
Direct exposure dominates in Marthaville: 79.1% of its 158 buildings, versus 20.9% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Marthaville ranks
Compare Marthaville's two percentiles: 82nd within Louisiana, only 66th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Marthaville ranks 10,681 for wildfire risk (1 is highest) and 26,529 by building count (1 is largest). Within Louisiana alone, it ranks 87 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Marthaville and the insurance market
At the 66th percentile nationally, Marthaville 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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Marthaville (79.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Marthaville's figures come from
Every one of the two percentiles behind Marthaville's 10,681-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Marthaville's dominant direct exposure actually means, with real examples from across the dataset.