Tehaleh, WA
How exposed is Tehaleh to wildfire?
Tehaleh sits at the 23rd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,959 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tehaleh at the 23rd national percentile — 1 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
72.9% of Tehaleh's 1,959 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 27.1% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Tehaleh ranks
Tehaleh's risk sits at a similar level relative to Washington (36th percentile statewide) as it does nationally (23rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Tehaleh ranks 24,444 for wildfire risk (1 is highest) and 7,596 by building count (1 is largest). Within Washington alone, it ranks 403 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
What this risk score means for insurance
Tehaleh's moderate rating (23rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Tehaleh (72.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Tehaleh's figures come from
Tehaleh's 23rd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Tehaleh's dominant indirect exposure actually means, with real examples from across the dataset.