Wisner, NE
How exposed is Wisner to wildfire?
USFS's Wildfire Risk to Communities model puts Wisner at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 841 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wisner at the 71st national percentile — 7 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
Wisner rates 66.6% Minimal exposure against just 13.2% Direct and 20.2% Indirect — of 841 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Wisner compares
There's little gap between Wisner's 78th national percentile and its 83rd percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Wisner ranks 6,971 for wildfire risk (1 is highest) and 13,241 by building count (1 is largest). Within Nebraska alone, it ranks 101 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Shopping for coverage in Wisner
Wisner's 78th-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.
What would actually reduce this score
With 66.6% of buildings rated Minimal exposure, Wisner gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Wisner's figures come from
The methodology guide shows exactly how USFS turned 841 counted buildings into the percentiles shown above for Wisner. The exposure-zones guide covers what Wisner's dominant minimal exposure actually means, with real examples from across the dataset.