Mangum, OK
Mangum, OK's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Mangum at the 91st national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 2,129 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mangum at the 89th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
71.3% of Mangum's 2,129 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 19% Direct and 9.7% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Mangum against the rest of the country
Mangum's 91st national percentile looks worse in isolation than its 51st ranking inside Oklahoma does — this place is on the milder end for its own state, by 40 points. Among the 31,521 US communities USFS scores, Mangum ranks 2,903 for wildfire risk (1 is highest) and 7,120 by building count (1 is largest). Within Oklahoma alone, it ranks 406 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
What this risk score means for insurance
Mangum's very high rating (91st 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 ember exposure the dominant pattern in Mangum (71.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Mangum's figures come from
Every one of the two percentiles behind Mangum's 2,903-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mangum's dominant indirect exposure actually means, with real examples from across the dataset.