Beatty, NV
Beatty wildfire risk explained
Out of every US place USFS scores, Beatty lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 854 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Beatty at the 66th national percentile — 2 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
84.7% of Beatty's 854 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 15.3% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Beatty against the rest of the country
Inside Nevada, Beatty sits at just the 20th 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, Beatty ranks 11,541 for wildfire risk (1 is highest) and 13,137 by building count (1 is largest). Within Nevada alone, it ranks 99 of 123 places by risk. See the full county-by-county picture for Nevada on its state page.
What this risk score means for insurance
Beatty'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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Beatty (84.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Beatty's figures come from
Beatty'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 Beatty's dominant indirect exposure actually means, with real examples from across the dataset.