Maskell, NE
Maskell wildfire risk explained
Out of every US place USFS scores, Maskell lands at the 87th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 65 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Maskell at the 84th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS puts 63.1% of Maskell's 65 buildings in the Indirect exposure zone, versus 36.9% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Maskell compares
Maskell's risk sits at a similar level relative to Nebraska (95th percentile statewide) as it does nationally (87th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Maskell ranks 4,007 for wildfire risk (1 is highest) and 30,465 by building count (1 is largest). Within Nebraska alone, it ranks 28 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
What this risk score means for insurance
At the 87th percentile nationally, Maskell 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
Because 63.1% of Maskell's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Maskell's figures come from
Every one of the two percentiles behind Maskell's 4,007-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Maskell's dominant indirect exposure actually means, with real examples from across the dataset.