Cuney, TX
Cuney, TX's wildfire risk, in USFS's own numbers
Cuney's 113 buildings earn a 79th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Cuney at the 79th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Cuney's building exposure, zone by zone
Of Cuney's 113 counted buildings, 93.8% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Cuney ranks
Cuney ranks lower within Texas (57th percentile statewide) than its 79th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Cuney ranks 6,786 for wildfire risk (1 is highest) and 28,523 by building count (1 is largest). Within Texas alone, it ranks 762 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Cuney
Cuney's 79th-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 Cuney
With 93.8% of Cuney 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 Cuney's figures come from
Every one of the two percentiles behind Cuney's 6,786-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cuney's dominant direct exposure actually means, with real examples from across the dataset.