Cherry Grove, OR
Cherry Grove wildfire risk explained
Cherry Grove's 357 buildings earn a 42nd-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Cherry Grove at the 42nd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
79.6% of Cherry Grove's 357 buildings sit in USFS's Direct exposure zone, roughly 284 structures close enough to burnable vegetation for flame contact, not just embers — 20.5% fall in the Indirect, ember-only zone and 0% are Minimal.
Cherry Grove against the rest of the country
Cherry Grove's risk sits at a similar level relative to Oregon (38th percentile statewide) as it does nationally (42nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Cherry Grove ranks 18,195 for wildfire risk (1 is highest) and 20,141 by building count (1 is largest). Within Oregon alone, it ranks 259 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 Cherry Grove 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.
What would actually reduce this score
With 79.6% of Cherry Grove 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 Cherry Grove's figures come from
Every one of the two percentiles behind Cherry Grove's 18,195-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cherry Grove's dominant direct exposure actually means, with real examples from across the dataset.