Lone Chimney, OK
How exposed is Lone Chimney to wildfire?
Lone Chimney sits at the 96th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 89 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lone Chimney's burn probability — fire likelihood with no building count factored in — sits at the 97th percentile nationally.
Lone Chimney's building exposure, zone by zone
USFS classifies 92.1% of Lone Chimney's buildings as Direct exposure, higher than its 7.9% Indirect share and far above its 0% Minimal share — a profile where 82 structures sit close enough to vegetation that lot clearing matters most.
How Lone Chimney compares
Lone Chimney scores 96th nationally and 83rd within Oklahoma — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Lone Chimney ranks 1,392 for wildfire risk (1 is highest) and 29,547 by building count (1 is largest). Within Oklahoma alone, it ranks 141 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Lone Chimney
Lone Chimney's very high rating (96th 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.
What would actually reduce this score
With 92.1% of Lone Chimney 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 Lone Chimney's figures come from
The methodology guide shows exactly how USFS turned 89 counted buildings into the percentiles shown above for Lone Chimney. The exposure-zones guide covers what Lone Chimney's dominant direct exposure actually means, with real examples from across the dataset.