Greenville, OK
Greenville wildfire risk explained
USFS's Wildfire Risk to Communities model puts Greenville at the 87th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 182 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Greenville at the 89th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Greenville's buildings actually sit
182 buildings are counted in Greenville, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Greenville ranks
Inside Oklahoma, Greenville sits at just the 38th percentile even though it scores 87th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Greenville ranks 4,011 for wildfire risk (1 is highest) and 25,560 by building count (1 is largest). Within Oklahoma alone, it ranks 522 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Greenville
Greenville's very high rating (87th 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
Greenville's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Greenville's figures come from
Greenville's 87th-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 Greenville's dominant direct exposure actually means, with real examples from across the dataset.