Dewar, OK
How exposed is Dewar to wildfire?
Out of every US place USFS scores, Dewar lands at the 96th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 571 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Dewar's burn probability — fire likelihood with no building count factored in — sits at the 97th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Dewar: 67.4% of its 571 buildings, versus 32.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Dewar ranks
There's little gap between Dewar's 96th national percentile and its 85th percentile inside Oklahoma, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Dewar ranks 1,298 for wildfire risk (1 is highest) and 16,237 by building count (1 is largest). Within Oklahoma alone, it ranks 125 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Dewar and the insurance market
Dewar's 96th-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 67.4% of Dewar in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Dewar's figures come from
Dewar's 96th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Dewar's dominant direct exposure actually means, with real examples from across the dataset.