Maywood Park, OR
Maywood Park wildfire risk explained
USFS scores Maywood Park at the 6th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 332 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Maywood Park's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.
What "at risk" means for the buildings here
Most of Maywood Park's buildings (100% of 332) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Maywood Park against the rest of the country
Maywood Park's risk sits at a similar level relative to Oregon (0th percentile statewide) as it does nationally (6th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Maywood Park ranks 29,611 for wildfire risk (1 is highest) and 20,769 by building count (1 is largest). Within Oregon alone, it ranks 419 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Maywood Park and the insurance market
Maywood Park sits in Oregon, one of two states that legally require a wildfire-risk disclosure at sale. Sellers here disclose wildfire-hazard status before closing, the same number this page reports at the 6th national percentile. More on the disclosure law.
Lowering exposure, not just insuring around it
Even with 100% of Maywood Park 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 Maywood Park's figures come from
The methodology guide shows exactly how USFS turned 332 counted buildings into the percentiles shown above for Maywood Park. The exposure-zones guide covers what Maywood Park's dominant minimal exposure actually means, with real examples from across the dataset.