Loma Linda, TX
Loma Linda wildfire risk explained
Out of every US place USFS scores, Loma Linda lands at the 59th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 100 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Loma Linda at the 60th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
100 buildings are counted in Loma Linda, and 96% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 4% rated Minimal.
Where Loma Linda ranks
Loma Linda ranks lower within Texas (13th percentile statewide) than its 59th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Loma Linda ranks 12,873 for wildfire risk (1 is highest) and 29,056 by building count (1 is largest). Within Texas alone, it ranks 1,561 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Loma Linda and the insurance market
At the 59th national percentile, Loma Linda rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With 96% of Loma Linda 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 Loma Linda's figures come from
The methodology guide shows exactly how USFS turned 100 counted buildings into the percentiles shown above for Loma Linda. The exposure-zones guide covers what Loma Linda's dominant direct exposure actually means, with real examples from across the dataset.