Crescent Springs, OK
Crescent Springs wildfire risk explained
Crescent Springs's 172 buildings earn a 81st-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Crescent Springs at the 81st national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Crescent Springs's buildings actually sit
172 buildings are counted in Crescent Springs, and 59.9% of them are Indirect exposure — ember-driven risk rather than the 40.1% in Direct exposure or the 0% rated Minimal.
How Crescent Springs compares
Crescent Springs's 81st national percentile looks worse in isolation than its 24th ranking inside Oklahoma does — this place is on the milder end for its own state, by 58 points. Among the 31,521 US communities USFS scores, Crescent Springs ranks 5,900 for wildfire risk (1 is highest) and 25,958 by building count (1 is largest). Within Oklahoma alone, it ranks 638 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
Crescent Springs's 81st-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Crescent Springs (59.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Crescent Springs's figures come from
The methodology guide shows exactly how USFS turned 172 counted buildings into the percentiles shown above for Crescent Springs. The exposure-zones guide covers what Crescent Springs's dominant indirect exposure actually means, with real examples from across the dataset.