Kirvin, TX
Kirvin, TX's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Kirvin lands at the 83rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 117 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Kirvin's burn probability — fire likelihood with no building count factored in — sits at the 85th percentile nationally.
What "at risk" means for the buildings here
117 buildings are counted in Kirvin, and 53.9% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Kirvin against the rest of the country
There's little gap between Kirvin's 83rd national percentile and its 68th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Kirvin ranks 5,432 for wildfire risk (1 is highest) and 28,333 by building count (1 is largest). Within Texas alone, it ranks 567 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Kirvin
Kirvin's very high rating (83rd 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 53.9% of Kirvin 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 Kirvin's figures come from
Every one of the two percentiles behind Kirvin's 5,432-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kirvin's dominant direct exposure actually means, with real examples from across the dataset.