Winnemucca, NV
Winnemucca, NV's wildfire risk, in USFS's own numbers
Winnemucca's 4,286 buildings earn a 98th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Winnemucca at the 98th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Winnemucca's buildings actually sit
87% of Winnemucca's 4,286 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 13% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Winnemucca against the rest of the country
There's little gap between Winnemucca's 98th national percentile and its 84th percentile inside Nevada, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Winnemucca ranks 513 for wildfire risk (1 is highest) and 3,984 by building count (1 is largest). Within Nevada alone, it ranks 21 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
At the 98th percentile nationally, Winnemucca 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.
What would actually reduce this score
With ember exposure the dominant pattern in Winnemucca (87% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Winnemucca's figures come from
Every one of the two percentiles behind Winnemucca's 513-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Winnemucca's dominant indirect exposure actually means, with real examples from across the dataset.