Irrigon, OR
How exposed is Irrigon to wildfire?
USFS scores Irrigon at the 81st national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 900 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Irrigon's burn probability — fire likelihood with no building count factored in — sits at the 81st percentile nationally.
Irrigon's building exposure, zone by zone
65.4% of Irrigon's 900 buildings sit in USFS's Minimal exposure zone, with only 11.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Irrigon against the rest of the country
Irrigon ranks lower within Oregon (63rd percentile statewide) than its 81st national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Irrigon ranks 5,873 for wildfire risk (1 is highest) and 12,725 by building count (1 is largest). Within Oregon alone, it ranks 158 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Shopping for coverage in Irrigon
Irrigon 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 81st national percentile. More on the disclosure law.
Hardening a home in Irrigon
Even with 65.4% of Irrigon 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 Irrigon's figures come from
Irrigon's 81st-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 Irrigon's dominant minimal exposure actually means, with real examples from across the dataset.