WildfireRiskFinder

Diller, NE

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

Elevated
44thpercentile nationally

USFS's Wildfire Risk to Communities model puts Diller at the 44th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 250 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Diller at the 36th national percentile — 9 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Diller's buildings actually sit

250Total buildings
17.6%Direct exposure
0%Indirect exposure
82.4%Minimal exposure

Most of Diller's buildings (82.4% of 250) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Where Diller ranks

Diller's 44th national percentile looks worse in isolation than its 29th ranking inside Nebraska does — this place is on the milder end for its own state, by 16 points. Among the 31,521 US communities USFS scores, Diller ranks 17,525 for wildfire risk (1 is highest) and 23,147 by building count (1 is largest). Within Nebraska alone, it ranks 415 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.

Shopping for coverage in Diller

At the 44th national percentile, Diller rates elevated 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 Diller

Diller's 82.4% 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 Diller's figures come from

Diller's 44th-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 Diller's dominant minimal exposure actually means, with real examples from across the dataset.