Ellinger, TX
Ellinger, TX's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Ellinger lands at the 59th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 267 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Ellinger at the 60th percentile, close to its 59th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 60.3% of Ellinger's buildings as Direct exposure, higher than its 39.7% Indirect share and far above its 0% Minimal share — a profile where 161 structures sit close enough to vegetation that lot clearing matters most.
Where Ellinger ranks
Inside Texas, Ellinger sits at just the 13th percentile even though it scores 59th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Ellinger ranks 12,872 for wildfire risk (1 is highest) and 22,615 by building count (1 is largest). Within Texas alone, it ranks 1,560 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
Ellinger's elevated rating (59th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 60.3% of Ellinger 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 Ellinger's figures come from
The methodology guide shows exactly how USFS turned 267 counted buildings into the percentiles shown above for Ellinger. The exposure-zones guide covers what Ellinger's dominant direct exposure actually means, with real examples from across the dataset.