La Homa, TX
How exposed is La Homa to wildfire?
USFS scores La Homa at the 79th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 4,462 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts La Homa at the 80th percentile, close to its 79th-percentile risk score.
La Homa's building exposure, zone by zone
Of La Homa's 4,462 counted buildings, 58.3% carry Direct exposure and only 41.7% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How La Homa compares
La Homa 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, La Homa ranks 6,788 for wildfire risk (1 is highest) and 3,828 by building count (1 is largest). Within Texas alone, it ranks 764 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
La Homa and the insurance market
La Homa'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 La Homa
La Homa's 58.3% 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 La Homa's figures come from
La Homa's 79th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what La Homa's dominant direct exposure actually means, with real examples from across the dataset.