Onalaska, TX
Onalaska, TX's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Onalaska at the 69th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,834 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Onalaska at the 70th national percentile — 0 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
Most of Onalaska's buildings (35.2%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Onalaska ranks
Onalaska's 69th national percentile looks worse in isolation than its 29th ranking inside Texas does — this place is on the milder end for its own state, by 40 points. Among the 31,521 US communities USFS scores, Onalaska ranks 9,720 for wildfire risk (1 is highest) and 7,967 by building count (1 is largest). Within Texas alone, it ranks 1,272 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Onalaska
Onalaska's high rating (69th 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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Onalaska (35.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Onalaska's figures come from
Every one of the two percentiles behind Onalaska's 9,720-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Onalaska's dominant indirect exposure actually means, with real examples from across the dataset.