Bushnell, NE
Bushnell, NE's wildfire risk, in USFS's own numbers
USFS scores Bushnell at the 80th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 172 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bushnell at the 79th percentile, close to its 80th-percentile risk score.
Bushnell's building exposure, zone by zone
172 buildings are counted in Bushnell, and 64.5% of them are Indirect exposure — ember-driven risk rather than the 35.5% in Direct exposure or the 0% rated Minimal.
Bushnell against the rest of the country
There's little gap between Bushnell's 80th national percentile and its 86th percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Bushnell ranks 6,431 for wildfire risk (1 is highest) and 25,948 by building count (1 is largest). Within Nebraska alone, it ranks 85 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Bushnell and the insurance market
Bushnell's 80th-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 Bushnell (64.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Bushnell's figures come from
The methodology guide shows exactly how USFS turned 172 counted buildings into the percentiles shown above for Bushnell. The exposure-zones guide covers what Bushnell's dominant indirect exposure actually means, with real examples from across the dataset.