King City, OR
How exposed is King City to wildfire?
Out of every US place USFS scores, King City lands at the 16th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 2,049 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, King City's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
Where King City's buildings actually sit
98.2% of King City's 2,049 buildings sit in USFS's Minimal exposure zone, with only 1.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
King City against the rest of the country
There's little gap between King City's 16th national percentile and its 9th percentile inside Oregon, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, King City ranks 26,480 for wildfire risk (1 is highest) and 7,335 by building count (1 is largest). Within Oregon alone, it ranks 383 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
What this risk score means for insurance
King City 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 16th national percentile. More on the disclosure law.
What would actually reduce this score
With 98.2% of buildings rated Minimal exposure, King City gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where King City's figures come from
Every one of the two percentiles behind King City's 26,480-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what King City's dominant minimal exposure actually means, with real examples from across the dataset.