WildfireRiskFinder

Unadilla, NE

Unadilla, NE's wildfire risk, in USFS's own numbers

Elevated
57thpercentile nationally

Out of every US place USFS scores, Unadilla lands at the 57th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 212 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Unadilla's burn probability — fire likelihood with no building count factored in — sits at the 52nd percentile nationally.

Where Unadilla's buildings actually sit

212Total buildings
9%Direct exposure
0%Indirect exposure
91%Minimal exposure

USFS classifies 91% of Unadilla's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 9% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Unadilla compares

Unadilla scores 57th nationally and 45th within Nebraska — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Unadilla ranks 13,657 for wildfire risk (1 is highest) and 24,406 by building count (1 is largest). Within Nebraska alone, it ranks 324 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.

Shopping for coverage in Unadilla

Unadilla's elevated rating (57th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Unadilla

Unadilla's 91% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Unadilla's figures come from

Unadilla's 57th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Unadilla's dominant minimal exposure actually means, with real examples from across the dataset.