Callisburg, TX
Callisburg wildfire risk explained
Callisburg's 248 buildings earn a 91st-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Callisburg at the 92nd percentile, close to its 91st-percentile risk score.
Callisburg's building exposure, zone by zone
87.5% of Callisburg's 248 buildings sit in USFS's Direct exposure zone, roughly 217 structures close enough to burnable vegetation for flame contact, not just embers — 12.5% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Callisburg ranks
There's little gap between Callisburg's 91st national percentile and its 88th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Callisburg ranks 2,721 for wildfire risk (1 is highest) and 23,226 by building count (1 is largest). Within Texas alone, it ranks 220 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Callisburg
At the 91st percentile nationally, Callisburg carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Callisburg's 87.5% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Callisburg's figures come from
Every one of the two percentiles behind Callisburg's 2,721-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Callisburg's dominant direct exposure actually means, with real examples from across the dataset.