Merrill, OR
Merrill, OR's wildfire risk, in USFS's own numbers
Merrill sits at the 63rd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 484 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Merrill at the 66th percentile, close to its 63rd-percentile risk score.
Merrill's building exposure, zone by zone
Most of Merrill's buildings (95.3% of 484) 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.
Where Merrill ranks
Merrill scores 63rd nationally and 51st 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, Merrill ranks 11,609 for wildfire risk (1 is highest) and 17,636 by building count (1 is largest). Within Oregon alone, it ranks 208 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Shopping for coverage in Merrill
Merrill's 63rd-percentile score lands in Oregon, the only two states requiring a wildfire disclosure at sale. Oregon's own hazard map feeds directly into that disclosure requirement. The disclosure-law guide covers what it requires.
Hardening a home in Merrill
Even with 95.3% of Merrill 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 Merrill's figures come from
Merrill's 63rd-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 Merrill's dominant minimal exposure actually means, with real examples from across the dataset.