Gilchrist, OR
How exposed is Gilchrist to wildfire?
Out of every US place USFS scores, Gilchrist lands at the 69th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 235 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Gilchrist's burn probability — fire likelihood with no building count factored in — sits at the 71st percentile nationally.
What "at risk" means for the buildings here
Of Gilchrist's 235 counted buildings, 73.6% 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.
Gilchrist against the rest of the country
There's little gap between Gilchrist's 69th national percentile and its 54th percentile inside Oregon, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Gilchrist ranks 9,869 for wildfire risk (1 is highest) and 23,644 by building count (1 is largest). Within Oregon alone, it ranks 193 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
Gilchrist's 69th-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 73.6% of Gilchrist 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 Gilchrist's figures come from
Gilchrist's 69th-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 Gilchrist's dominant direct exposure actually means, with real examples from across the dataset.