Netarts, OR
Netarts wildfire risk explained
Netarts sits at the 41st percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 871 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 Netarts at the 38th percentile, close to its 41st-percentile risk score.
Netarts's building exposure, zone by zone
USFS puts 72.9% of Netarts's 871 buildings in the Indirect exposure zone, versus 26.4% Direct and 0.7% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Netarts against the rest of the country
Netarts's risk sits at a similar level relative to Oregon (37th percentile statewide) as it does nationally (41st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Netarts ranks 18,635 for wildfire risk (1 is highest) and 12,976 by building count (1 is largest). Within Oregon alone, it ranks 266 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Netarts and the insurance market
Netarts 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 41st national percentile. More on the disclosure law.
What would actually reduce this score
Because 72.9% of Netarts's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Netarts's figures come from
The methodology guide shows exactly how USFS turned 871 counted buildings into the percentiles shown above for Netarts. The exposure-zones guide covers what Netarts's dominant indirect exposure actually means, with real examples from across the dataset.