Latexo, TX
Latexo wildfire risk explained
Latexo sits at the 79th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 215 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Latexo's burn probability — fire likelihood with no building count factored in — sits at the 81st percentile nationally.
Where Latexo's buildings actually sit
67.9% of Latexo's 215 buildings sit in USFS's Direct exposure zone, roughly 146 structures close enough to burnable vegetation for flame contact, not just embers — 32.1% fall in the Indirect, ember-only zone and 0% are Minimal.
Latexo against the rest of the country
Latexo ranks lower within Texas (60th 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, Latexo ranks 6,504 for wildfire risk (1 is highest) and 24,321 by building count (1 is largest). Within Texas alone, it ranks 725 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Latexo
At the 79th percentile nationally, Latexo carries the 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.
What would actually reduce this score
Latexo's 67.9% 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 Latexo's figures come from
Every one of the two percentiles behind Latexo's 6,504-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Latexo's dominant direct exposure actually means, with real examples from across the dataset.