Foots Creek, OR
Foots Creek, OR's wildfire risk, in USFS's own numbers
Foots Creek sits at the 100th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 695 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Foots Creek at the 100th percentile, close to its 100th-percentile risk score.
Where Foots Creek's buildings actually sit
Direct exposure dominates in Foots Creek: 99.9% of its 695 buildings, versus 0.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Foots Creek ranks
Foots Creek scores 100th nationally and 99th within Oregon — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Foots Creek ranks 138 for wildfire risk (1 is highest) and 14,722 by building count (1 is largest). Within Oregon alone, it ranks 7 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Foots Creek and the insurance market
Foots Creek's 100th-percentile score lands in Oregon, the only two states requiring a wildfire disclosure at sale. Oregon's own hazard map feeds directly into that disclosure requirement. The disclosure-law guide covers what it requires.
Hardening a home in Foots Creek
With 99.9% of Foots Creek in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Foots Creek's figures come from
The methodology guide shows exactly how USFS turned 695 counted buildings into the percentiles shown above for Foots Creek. The exposure-zones guide covers what Foots Creek's dominant direct exposure actually means, with real examples from across the dataset.