Milligan, NE
Milligan, NE's wildfire risk, in USFS's own numbers
Milligan sits at the 24th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 299 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 Milligan at the 18th percentile, close to its 24th-percentile risk score.
Milligan's building exposure, zone by zone
90.3% of Milligan's 299 buildings sit in USFS's Minimal exposure zone, with only 9.7% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Milligan compares
Milligan's risk sits at a similar level relative to Nebraska (12th percentile statewide) as it does nationally (24th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Milligan ranks 23,863 for wildfire risk (1 is highest) and 21,656 by building count (1 is largest). Within Nebraska alone, it ranks 513 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Shopping for coverage in Milligan
At the 24th national percentile, Milligan rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Milligan
With 90.3% of buildings rated Minimal exposure, Milligan gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Milligan's figures come from
Every one of the two percentiles behind Milligan's 23,863-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Milligan's dominant minimal exposure actually means, with real examples from across the dataset.