Verdigre, NE
How exposed is Verdigre to wildfire?
Verdigre sits at the 81st 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 445 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Verdigre at the 76th national percentile — 5 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 81.8% of Verdigre's 445 buildings in the Indirect exposure zone, versus 18.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Verdigre compares
Verdigre's risk sits at a similar level relative to Nebraska (88th percentile statewide) as it does nationally (81st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Verdigre ranks 5,897 for wildfire risk (1 is highest) and 18,365 by building count (1 is largest). Within Nebraska alone, it ranks 69 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Verdigre and the insurance market
At the 81st percentile nationally, Verdigre 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.
What would actually reduce this score
With ember exposure the dominant pattern in Verdigre (81.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Verdigre's figures come from
Every one of the two percentiles behind Verdigre's 5,897-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Verdigre's dominant indirect exposure actually means, with real examples from across the dataset.