Tensed, ID
Tensed, ID's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Tensed at the 63rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 108 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Tensed at the 63rd percentile, close to its 63rd-percentile risk score.
Where Tensed's buildings actually sit
Indirect exposure is dominant in Tensed (73.2% of 108 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 26.9% sit in the Direct zone.
Where Tensed ranks
Inside Idaho, Tensed sits at just the 29th percentile even though it scores 63rd 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, Tensed ranks 11,815 for wildfire risk (1 is highest) and 28,688 by building count (1 is largest). Within Idaho alone, it ranks 165 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
Shopping for coverage in Tensed
Tensed's 63rd-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.
Hardening a home in Tensed
With ember exposure the dominant pattern in Tensed (73.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Tensed's figures come from
Tensed's 63rd-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 Tensed's dominant indirect exposure actually means, with real examples from across the dataset.