Huntington, TX
How exposed is Huntington to wildfire?
Huntington sits at the 77th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,029 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Huntington at the 79th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
62.6% of Huntington's 1,029 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 37.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Huntington compares
Huntington ranks lower within Texas (54th percentile statewide) than its 77th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Huntington ranks 7,135 for wildfire risk (1 is highest) and 11,733 by building count (1 is largest). Within Texas alone, it ranks 829 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
Huntington's high rating (77th 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 Huntington (62.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Huntington's figures come from
Huntington's 77th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Huntington's dominant indirect exposure actually means, with real examples from across the dataset.