Rush Springs, OK
Rush Springs, OK's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Rush Springs at the 94th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 849 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Rush Springs at the 94th national percentile — 0 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
849 buildings are counted in Rush Springs, and 54.4% of them are Indirect exposure — ember-driven risk rather than the 45.6% in Direct exposure or the 0% rated Minimal.
Where Rush Springs ranks
Rush Springs's 94th national percentile looks worse in isolation than its 73rd ranking inside Oklahoma does — this place is on the milder end for its own state, by 21 points. Among the 31,521 US communities USFS scores, Rush Springs ranks 1,897 for wildfire risk (1 is highest) and 13,168 by building count (1 is largest). Within Oklahoma alone, it ranks 227 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Rush Springs and the insurance market
At the 94th percentile nationally, Rush Springs carries the very 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.
Hardening a home in Rush Springs
Because 54.4% of Rush Springs's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Rush Springs's figures come from
The methodology guide shows exactly how USFS turned 849 counted buildings into the percentiles shown above for Rush Springs. The exposure-zones guide covers what Rush Springs's dominant indirect exposure actually means, with real examples from across the dataset.