DeQuincy, LA
DeQuincy wildfire risk explained
USFS scores DeQuincy at the 86th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 1,778 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts DeQuincy at the 88th percentile, close to its 86th-percentile risk score.
DeQuincy's building exposure, zone by zone
Indirect exposure is dominant in DeQuincy (78.1% of 1,778 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 21.9% sit in the Direct zone.
Where DeQuincy ranks
DeQuincy's risk sits at a similar level relative to Louisiana (96th percentile statewide) as it does nationally (86th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, DeQuincy ranks 4,322 for wildfire risk (1 is highest) and 8,130 by building count (1 is largest). Within Louisiana alone, it ranks 22 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
DeQuincy and the insurance market
DeQuincy's 86th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Because 78.1% of DeQuincy's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where DeQuincy's figures come from
Every one of the two percentiles behind DeQuincy's 4,322-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what DeQuincy's dominant indirect exposure actually means, with real examples from across the dataset.