WildfireRiskFinder

Peckham, OK

How exposed is Peckham to wildfire?

High
63rdpercentile nationally

USFS scores Peckham at the 63rd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 50 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Peckham at the 56th percentile, close to its 63rd-percentile risk score.

What "at risk" means for the buildings here

50Total buildings
68%Direct exposure
0%Indirect exposure
32%Minimal exposure

Direct exposure dominates in Peckham: 68% of its 50 buildings, versus 0% Indirect and 32% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

How Peckham compares

Peckham's 63rd national percentile looks worse in isolation than its 9th ranking inside Oklahoma does — this place is on the milder end for its own state, by 54 points. Among the 31,521 US communities USFS scores, Peckham ranks 11,732 for wildfire risk (1 is highest) and 30,939 by building count (1 is largest). Within Oklahoma alone, it ranks 759 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

Peckham's high rating (63rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Hardening a home in Peckham

Because Direct exposure dominates in Peckham (68%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Peckham's figures come from

Every one of the two percentiles behind Peckham's 11,732-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Peckham's dominant direct exposure actually means, with real examples from across the dataset.