WildfireRiskFinder

Powers, OR

How exposed is Powers to wildfire?

Very High
83rdpercentile nationally

Powers's 544 buildings earn a 83rd-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Powers at the 76th percentile, close to its 83rd-percentile risk score.

Powers's building exposure, zone by zone

544Total buildings
30.2%Direct exposure
69.9%Indirect exposure
0%Minimal exposure

USFS puts 69.9% of Powers's 544 buildings in the Indirect exposure zone, versus 30.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Powers compares

Inside Oregon, Powers sits at just the 64th percentile even though it scores 83rd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Powers ranks 5,426 for wildfire risk (1 is highest) and 16,660 by building count (1 is largest). Within Oregon alone, it ranks 151 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.

Shopping for coverage in Powers

Powers's 83rd-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.

What would actually reduce this score

With ember exposure the dominant pattern in Powers (69.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Powers's figures come from

The methodology guide shows exactly how USFS turned 544 counted buildings into the percentiles shown above for Powers. The exposure-zones guide covers what Powers's dominant indirect exposure actually means, with real examples from across the dataset.