Nixon, NV
Nixon, NV's wildfire risk, in USFS's own numbers
Nixon sits at the 88th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 227 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 Nixon at the 89th percentile, close to its 88th-percentile risk score.
What "at risk" means for the buildings here
227 buildings are counted in Nixon, and 74% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Nixon against the rest of the country
Inside Nevada, Nixon sits at just the 43rd percentile even though it scores 88th 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, Nixon ranks 3,656 for wildfire risk (1 is highest) and 23,889 by building count (1 is largest). Within Nevada alone, it ranks 70 of 123 places by risk. See the full county-by-county picture for Nevada on its state page.
Nixon and the insurance market
Nixon's very high rating (88th 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.
What would actually reduce this score
With 74% of Nixon in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Nixon's figures come from
Nixon's 88th-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 Nixon's dominant direct exposure actually means, with real examples from across the dataset.