Shiner, TX
Shiner, TX's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Shiner lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 1,734 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Shiner at the 64th national percentile — 1 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
71% of Shiner's 1,734 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 29% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Shiner against the rest of the country
Inside Texas, Shiner sits at just the 18th percentile even though it scores 63rd 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, Shiner ranks 11,835 for wildfire risk (1 is highest) and 8,285 by building count (1 is largest). Within Texas alone, it ranks 1,478 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shiner and the insurance market
Shiner's high rating (63rd 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.
Hardening a home in Shiner
Shiner's 71% 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 Shiner's figures come from
Every one of the two percentiles behind Shiner's 11,835-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Shiner's dominant indirect exposure actually means, with real examples from across the dataset.