Tuleta, TX
Tuleta, TX's wildfire risk, in USFS's own numbers
USFS scores Tuleta at the 78th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 242 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 Tuleta at the 78th percentile, close to its 78th-percentile risk score.
Where Tuleta's buildings actually sit
USFS classifies 81.8% of Tuleta's buildings as Direct exposure, higher than its 18.2% Indirect share and far above its 0% Minimal share — a profile where 198 structures sit close enough to vegetation that lot clearing matters most.
Where Tuleta ranks
Inside Texas, Tuleta sits at just the 56th percentile even though it scores 78th 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, Tuleta ranks 6,914 for wildfire risk (1 is highest) and 23,407 by building count (1 is largest). Within Texas alone, it ranks 793 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Tuleta
Tuleta's high rating (78th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
With 81.8% of Tuleta 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 Tuleta's figures come from
Every one of the two percentiles behind Tuleta's 6,914-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Tuleta's dominant direct exposure actually means, with real examples from across the dataset.