Ruch, OR
How exposed is Ruch to wildfire?
Ruch sits at the 99th 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 641 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ruch at the 99th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Ruch's buildings actually sit
95.3% of Ruch's 641 buildings sit in USFS's Direct exposure zone, roughly 611 structures close enough to burnable vegetation for flame contact, not just embers — 4.7% fall in the Indirect, ember-only zone and 0% are Minimal.
Ruch against the rest of the country
There's little gap between Ruch's 99th national percentile and its 98th percentile inside Oregon, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Ruch ranks 263 for wildfire risk (1 is highest) and 15,314 by building count (1 is largest). Within Oregon alone, it ranks 11 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
What this risk score means for insurance
Because Ruch is in Oregon, a wildfire-hazard disclosure is legally required before a sale closes here — unusual nationally, since only these two states mandate it. Full detail in the disclosure-law guide.
Hardening a home in Ruch
Ruch's 95.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Ruch's figures come from
Every one of the two percentiles behind Ruch's 263-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ruch's dominant direct exposure actually means, with real examples from across the dataset.