Childress, TX
How exposed is Childress to wildfire?
Out of every US place USFS scores, Childress lands at the 83rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 3,121 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Childress at the 79th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
85.2% of Childress's 3,121 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 14.2% Direct and 0.6% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Childress against the rest of the country
Childress scores 83rd nationally and 70th within Texas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Childress ranks 5,272 for wildfire risk (1 is highest) and 5,266 by building count (1 is largest). Within Texas alone, it ranks 541 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Childress and the insurance market
Childress's very high rating (83rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Childress (85.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Childress's figures come from
Every one of the two percentiles behind Childress's 5,272-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Childress's dominant indirect exposure actually means, with real examples from across the dataset.