Toyah, TX
Toyah, TX's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Toyah lands at the 53rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 133 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Toyah's burn probability — fire likelihood with no building count factored in — sits at the 53rd percentile nationally.
Where Toyah's buildings actually sit
Most of Toyah's buildings (82%) 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.
How Toyah compares
Inside Texas, Toyah sits at just the 8th percentile even though it scores 53rd 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, Toyah ranks 14,892 for wildfire risk (1 is highest) and 27,597 by building count (1 is largest). Within Texas alone, it ranks 1,652 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Toyah
At the 53rd national percentile, Toyah rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Toyah (82% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Toyah's figures come from
Every one of the two percentiles behind Toyah's 14,892-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Toyah's dominant indirect exposure actually means, with real examples from across the dataset.