Groveton, TX
Groveton, TX's wildfire risk, in USFS's own numbers
Groveton's 793 buildings earn a 79th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Groveton at the 81st national percentile — 2 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
Indirect exposure is dominant in Groveton (62.2% of 793 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 37.8% sit in the Direct zone.
Groveton against the rest of the country
Groveton's 79th national percentile looks worse in isolation than its 57th ranking inside Texas does — this place is on the milder end for its own state, by 21 points. Among the 31,521 US communities USFS scores, Groveton ranks 6,787 for wildfire risk (1 is highest) and 13,706 by building count (1 is largest). Within Texas alone, it ranks 763 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Groveton
Groveton's 79th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Groveton's 62.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Groveton's figures come from
The methodology guide shows exactly how USFS turned 793 counted buildings into the percentiles shown above for Groveton. The exposure-zones guide covers what Groveton's dominant indirect exposure actually means, with real examples from across the dataset.