De Leon, TX
How exposed is De Leon to wildfire?
USFS scores De Leon at the 91st national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 1,509 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, De Leon's burn probability — fire likelihood with no building count factored in — sits at the 91st percentile nationally.
What "at risk" means for the buildings here
1,509 buildings are counted in De Leon, and 61.3% of them are Indirect exposure — ember-driven risk rather than the 38.7% in Direct exposure or the 0% rated Minimal.
Where De Leon ranks
There's little gap between De Leon's 91st national percentile and its 85th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, De Leon ranks 3,003 for wildfire risk (1 is highest) and 9,126 by building count (1 is largest). Within Texas alone, it ranks 272 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
De Leon's 91st-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.
Hardening a home in De Leon
De Leon's 61.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where De Leon's figures come from
Every one of the two percentiles behind De Leon's 3,003-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what De Leon's dominant indirect exposure actually means, with real examples from across the dataset.