DISH, TX
DISH, TX's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts DISH at the 80th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 308 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks DISH at the 80th 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
98.4% of DISH's 308 buildings sit in USFS's Direct exposure zone, roughly 303 structures close enough to burnable vegetation for flame contact, not just embers — 1.6% fall in the Indirect, ember-only zone and 0% are Minimal.
Where DISH ranks
Inside Texas, DISH sits at just the 60th percentile even though it scores 80th 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, DISH ranks 6,473 for wildfire risk (1 is highest) and 21,429 by building count (1 is largest). Within Texas alone, it ranks 719 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in DISH
DISH's 80th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in DISH
With 98.4% of DISH in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where DISH's figures come from
The methodology guide shows exactly how USFS turned 308 counted buildings into the percentiles shown above for DISH. The exposure-zones guide covers what DISH's dominant direct exposure actually means, with real examples from across the dataset.