Lost River, ID
How exposed is Lost River to wildfire?
Lost River sits at the 69th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 80 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lost River at the 65th percentile, close to its 69th-percentile risk score.
Lost River's building exposure, zone by zone
96.3% of Lost River's 80 buildings sit in USFS's Direct exposure zone, roughly 77 structures close enough to burnable vegetation for flame contact, not just embers — 3.8% fall in the Indirect, ember-only zone and 0% are Minimal.
How Lost River compares
Lost River ranks lower within Idaho (36th percentile statewide) than its 69th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Lost River ranks 9,670 for wildfire risk (1 is highest) and 29,874 by building count (1 is largest). Within Idaho alone, it ranks 148 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
Lost River and the insurance market
Lost River'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
Lost River's 96.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Lost River's figures come from
Lost River's 69th-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 Lost River's dominant direct exposure actually means, with real examples from across the dataset.