WildfireRiskFinder

Worley, ID

Worley wildfire risk explained

High
64thpercentile nationally

USFS scores Worley at the 64th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 191 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Worley at the 58th percentile, close to its 64th-percentile risk score.

What "at risk" means for the buildings here

191Total buildings
14.1%Direct exposure
85.9%Indirect exposure
0%Minimal exposure

191 buildings are counted in Worley, and 85.9% of them are Indirect exposure — ember-driven risk rather than the 14.1% in Direct exposure or the 0% rated Minimal.

How Worley compares

Worley ranks lower within Idaho (31st percentile statewide) than its 64th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Worley ranks 11,307 for wildfire risk (1 is highest) and 25,191 by building count (1 is largest). Within Idaho alone, it ranks 160 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.

What this risk score means for insurance

Worley's high rating (64th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Hardening a home in Worley

Worley's 85.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.

Where Worley's figures come from

The methodology guide shows exactly how USFS turned 191 counted buildings into the percentiles shown above for Worley. The exposure-zones guide covers what Worley's dominant indirect exposure actually means, with real examples from across the dataset.