WildfireRiskFinder

Clarks, NE

Clarks wildfire risk explained

Moderate
36thpercentile nationally

Out of every US place USFS scores, Clarks lands at the 36th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 299 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Clarks at the 30th percentile, close to its 36th-percentile risk score.

What "at risk" means for the buildings here

299Total buildings
6.7%Direct exposure
0%Indirect exposure
93.3%Minimal exposure

Clarks rates 93.3% Minimal exposure against just 6.7% Direct and 0% Indirect — of 299 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Clarks ranks

Clarks's 36th national percentile looks worse in isolation than its 20th 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, Clarks ranks 20,073 for wildfire risk (1 is highest) and 21,655 by building count (1 is largest). Within Nebraska alone, it ranks 465 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.

Shopping for coverage in Clarks

At the 36th national percentile, Clarks rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Clarks's 93.3% 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 Clarks's figures come from

Every one of the two percentiles behind Clarks's 20,073-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Clarks's dominant minimal exposure actually means, with real examples from across the dataset.