Genesee, ID
Genesee, ID's wildfire risk, in USFS's own numbers
Genesee sits at the 5th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 617 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Genesee at the 5th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Genesee's building exposure, zone by zone
USFS classifies 74.4% of Genesee's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 25.6% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Genesee compares
There's little gap between Genesee's 5th national percentile and its 0th percentile inside Idaho, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Genesee ranks 29,931 for wildfire risk (1 is highest) and 15,602 by building count (1 is largest). Within Idaho alone, it ranks 231 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
Genesee and the insurance market
At the 5th national percentile, Genesee rates low 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
Even with 74.4% of Genesee outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Genesee's figures come from
The methodology guide shows exactly how USFS turned 617 counted buildings into the percentiles shown above for Genesee. The exposure-zones guide covers what Genesee's dominant minimal exposure actually means, with real examples from across the dataset.