Cedar Hills, OR
How exposed is Cedar Hills to wildfire?
USFS scores Cedar Hills at the 13th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 3,059 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Cedar Hills's burn probability — fire likelihood with no building count factored in — sits at the 13th percentile nationally.
What "at risk" means for the buildings here
98.8% of Cedar Hills's 3,059 buildings sit in USFS's Minimal exposure zone, with only 1.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Cedar Hills against the rest of the country
Cedar Hills scores 13th nationally and 5th 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, Cedar Hills ranks 27,522 for wildfire risk (1 is highest) and 5,343 by building count (1 is largest). Within Oregon alone, it ranks 399 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Cedar Hills and the insurance market
Cedar Hills 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 13th national percentile. More on the disclosure law.
Lowering exposure, not just insuring around it
Cedar Hills's 98.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Cedar Hills's figures come from
Cedar Hills's 13th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Cedar Hills's dominant minimal exposure actually means, with real examples from across the dataset.