WildfireRiskFinder

Tipton, OK

Tipton wildfire risk explained

Elevated
48thpercentile nationally

Tipton's 689 buildings earn a 48th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Tipton's burn probability — fire likelihood with no building count factored in — sits at the 43rd percentile nationally.

What "at risk" means for the buildings here

689Total buildings
8.4%Direct exposure
0%Indirect exposure
91.6%Minimal exposure

91.6% of Tipton's 689 buildings sit in USFS's Minimal exposure zone, with only 8.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

How Tipton compares

Tipton's 48th national percentile looks worse in isolation than its 5th ranking inside Oklahoma does — this place is on the milder end for its own state, by 43 points. Among the 31,521 US communities USFS scores, Tipton ranks 16,555 for wildfire risk (1 is highest) and 14,771 by building count (1 is largest). Within Oklahoma alone, it ranks 795 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.

Shopping for coverage in Tipton

At the 48th national percentile, Tipton rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Even with 91.6% of Tipton outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.

Where Tipton's figures come from

Every one of the two percentiles behind Tipton's 16,555-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Tipton's dominant minimal exposure actually means, with real examples from across the dataset.