Belcher, LA
Belcher, LA's wildfire risk, in USFS's own numbers
Belcher sits at the 48th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 207 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Belcher's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.
Where Belcher's buildings actually sit
Of Belcher's 207 counted buildings, 59.9% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Belcher ranks
There's little gap between Belcher's 48th national percentile and its 55th percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Belcher ranks 16,258 for wildfire risk (1 is highest) and 24,599 by building count (1 is largest). Within Louisiana alone, it ranks 221 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
Belcher's elevated wildfire rating (48th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
With 59.9% of Belcher in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Belcher's figures come from
The methodology guide shows exactly how USFS turned 207 counted buildings into the percentiles shown above for Belcher. The exposure-zones guide covers what Belcher's dominant direct exposure actually means, with real examples from across the dataset.