Dodge, OK
Dodge wildfire risk explained
Out of every US place USFS scores, Dodge lands at the 88th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 135 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Dodge at the 90th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Of Dodge's 135 counted buildings, 99.3% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Dodge ranks
Dodge ranks lower within Oklahoma (38th percentile statewide) than its 88th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Dodge ranks 3,910 for wildfire risk (1 is highest) and 27,511 by building count (1 is largest). Within Oklahoma alone, it ranks 511 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
At the 88th percentile nationally, Dodge 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.
What would actually reduce this score
With 99.3% of Dodge 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 Dodge's figures come from
The methodology guide shows exactly how USFS turned 135 counted buildings into the percentiles shown above for Dodge. The exposure-zones guide covers what Dodge's dominant direct exposure actually means, with real examples from across the dataset.