Jeffers Gardens, OR
Jeffers Gardens wildfire risk explained
USFS scores Jeffers Gardens at the 16th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 282 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Jeffers Gardens at the 17th percentile, close to its 16th-percentile risk score.
What "at risk" means for the buildings here
Direct exposure dominates in Jeffers Gardens: 55% of its 282 buildings, versus 38.3% Indirect and 6.7% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Jeffers Gardens against the rest of the country
Jeffers Gardens's risk sits at a similar level relative to Oregon (9th percentile statewide) as it does nationally (16th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Jeffers Gardens ranks 26,418 for wildfire risk (1 is highest) and 22,131 by building count (1 is largest). Within Oregon alone, it ranks 382 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Jeffers Gardens and the insurance market
Jeffers Gardens 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 16th national percentile. More on the disclosure law.
Hardening a home in Jeffers Gardens
Because Direct exposure dominates in Jeffers Gardens (55%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Jeffers Gardens's figures come from
The methodology guide shows exactly how USFS turned 282 counted buildings into the percentiles shown above for Jeffers Gardens. The exposure-zones guide covers what Jeffers Gardens's dominant direct exposure actually means, with real examples from across the dataset.