Thrall, TX
Thrall, TX's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Thrall lands at the 60th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 504 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Thrall at the 59th percentile, close to its 60th-percentile risk score.
What "at risk" means for the buildings here
Most of Thrall's buildings (69.4%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Thrall ranks
Inside Texas, Thrall sits at just the 14th percentile even though it scores 60th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Thrall ranks 12,623 for wildfire risk (1 is highest) and 17,274 by building count (1 is largest). Within Texas alone, it ranks 1,546 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Thrall
At the 60th national percentile, Thrall rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Thrall (69.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Thrall's figures come from
Every one of the two percentiles behind Thrall's 12,623-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Thrall's dominant indirect exposure actually means, with real examples from across the dataset.