New Alluwe, OK
New Alluwe, OK's wildfire risk, in USFS's own numbers
USFS scores New Alluwe at the 79th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 73 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New Alluwe at the 80th percentile, close to its 79th-percentile risk score.
Where New Alluwe's buildings actually sit
50.7% of New Alluwe's 73 buildings sit in USFS's Direct exposure zone, roughly 37 structures close enough to burnable vegetation for flame contact, not just embers — 49.3% fall in the Indirect, ember-only zone and 0% are Minimal.
Where New Alluwe ranks
Inside Oklahoma, New Alluwe sits at just the 19th percentile even though it scores 79th 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, New Alluwe ranks 6,596 for wildfire risk (1 is highest) and 30,186 by building count (1 is largest). Within Oklahoma alone, it ranks 678 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in New Alluwe
At the 79th percentile nationally, New Alluwe carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in New Alluwe (50.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where New Alluwe's figures come from
The methodology guide shows exactly how USFS turned 73 counted buildings into the percentiles shown above for New Alluwe. The exposure-zones guide covers what New Alluwe's dominant direct exposure actually means, with real examples from across the dataset.