Meacham, OR
How exposed is Meacham to wildfire?
Meacham sits at the 89th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 119 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Meacham's burn probability — fire likelihood with no building count factored in — sits at the 90th percentile nationally.
What "at risk" means for the buildings here
Of Meacham's 119 counted buildings, 100% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Meacham ranks
Meacham ranks lower within Oregon (73rd percentile statewide) than its 89th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Meacham ranks 3,509 for wildfire risk (1 is highest) and 28,211 by building count (1 is largest). Within Oregon alone, it ranks 114 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Shopping for coverage in Meacham
Meacham 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 89th national percentile. More on the disclosure law.
Lowering exposure, not just insuring around it
With 100% of Meacham 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 Meacham's figures come from
Meacham's 89th-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 Meacham's dominant direct exposure actually means, with real examples from across the dataset.