Imlay, NV
Imlay, NV's wildfire risk, in USFS's own numbers
USFS scores Imlay at the 96th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 150 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Imlay at the 98th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Imlay's building exposure, zone by zone
55.3% of Imlay's 150 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 44.7% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Imlay ranks
Imlay's 96th national percentile looks worse in isolation than its 59th ranking inside Nevada does — this place is on the milder end for its own state, by 37 points. Among the 31,521 US communities USFS scores, Imlay ranks 1,172 for wildfire risk (1 is highest) and 26,886 by building count (1 is largest). Within Nevada alone, it ranks 52 of 123 places by risk. See the full county-by-county picture for Nevada on its state page.
Imlay and the insurance market
At the 96th percentile nationally, Imlay carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Imlay (55.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Imlay's figures come from
Every one of the two percentiles behind Imlay's 1,172-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Imlay's dominant indirect exposure actually means, with real examples from across the dataset.