Tira, TX
How exposed is Tira to wildfire?
USFS scores Tira at the 76th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 177 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tira at the 77th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Tira's buildings actually sit
Direct exposure dominates in Tira: 100% of its 177 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Tira compares
Inside Texas, Tira sits at just the 48th percentile even though it scores 76th 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, Tira ranks 7,704 for wildfire risk (1 is highest) and 25,763 by building count (1 is largest). Within Texas alone, it ranks 936 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Tira
At the 76th percentile nationally, Tira 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
With 100% of Tira 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 Tira's figures come from
Every one of the two percentiles behind Tira's 7,704-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Tira's dominant direct exposure actually means, with real examples from across the dataset.