Pump Back, OK
How exposed is Pump Back to wildfire?
Pump Back sits at the 89th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 167 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Pump Back's burn probability — fire likelihood with no building count factored in — sits at the 91st percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Pump Back: 87.4% of its 167 buildings, versus 9% Indirect and 3.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Pump Back compares
Inside Oklahoma, Pump Back sits at just the 42nd percentile even though it scores 89th 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, Pump Back ranks 3,534 for wildfire risk (1 is highest) and 26,147 by building count (1 is largest). Within Oklahoma alone, it ranks 481 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Pump Back
Pump Back's 89th-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.
What would actually reduce this score
Because Direct exposure dominates in Pump Back (87.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Pump Back's figures come from
The methodology guide shows exactly how USFS turned 167 counted buildings into the percentiles shown above for Pump Back. The exposure-zones guide covers what Pump Back's dominant direct exposure actually means, with real examples from across the dataset.