Wickett, TX
Wickett wildfire risk explained
USFS's Wildfire Risk to Communities model puts Wickett at the 85th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 470 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Wickett at the 84th percentile, close to its 85th-percentile risk score.
What "at risk" means for the buildings here
470 buildings are counted in Wickett, and 65.3% of them are Indirect exposure — ember-driven risk rather than the 34.7% in Direct exposure or the 0% rated Minimal.
Wickett against the rest of the country
Wickett scores 85th nationally and 74th 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, Wickett ranks 4,618 for wildfire risk (1 is highest) and 17,882 by building count (1 is largest). Within Texas alone, it ranks 466 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Wickett and the insurance market
Wickett's 85th-percentile, very 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.
Lowering exposure, not just insuring around it
Because 65.3% of Wickett's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Wickett's figures come from
Every one of the two percentiles behind Wickett's 4,618-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wickett's dominant indirect exposure actually means, with real examples from across the dataset.