Fort Supply, OK
Fort Supply, OK's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Fort Supply lands at the 98th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 314 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fort Supply at the 98th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Fort Supply's buildings actually sit
Indirect exposure is dominant in Fort Supply (91.4% of 314 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 8.6% sit in the Direct zone.
How Fort Supply compares
Fort Supply's risk sits at a similar level relative to Oklahoma (96th percentile statewide) as it does nationally (98th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Fort Supply ranks 767 for wildfire risk (1 is highest) and 21,259 by building count (1 is largest). Within Oklahoma alone, it ranks 33 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Fort Supply
Fort Supply's very high rating (98th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Fort Supply (91.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Fort Supply's figures come from
Fort Supply's 98th-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 Fort Supply's dominant indirect exposure actually means, with real examples from across the dataset.