Eldorado, OK
How exposed is Eldorado to wildfire?
Eldorado sits at the 73rd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 420 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Eldorado at the 67th national percentile — 5 points below its risk-to-structures score, a gap driven by how much is actually built there.
Eldorado's building exposure, zone by zone
Most of Eldorado's buildings (74.1% of 420) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Eldorado ranks
Eldorado ranks lower within Oklahoma (12th percentile statewide) than its 73rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Eldorado ranks 8,614 for wildfire risk (1 is highest) and 18,823 by building count (1 is largest). Within Oklahoma alone, it ranks 734 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Eldorado
Eldorado's 73rd-percentile, 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
Eldorado's 74.1% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Eldorado's figures come from
The methodology guide shows exactly how USFS turned 420 counted buildings into the percentiles shown above for Eldorado. The exposure-zones guide covers what Eldorado's dominant minimal exposure actually means, with real examples from across the dataset.