Earlsboro, OK
Earlsboro, OK's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Earlsboro lands at the 96th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 586 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Earlsboro at the 96th percentile, close to its 96th-percentile risk score.
Earlsboro's building exposure, zone by zone
Direct exposure dominates in Earlsboro: 85.3% of its 586 buildings, versus 14.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Earlsboro ranks
There's little gap between Earlsboro's 96th national percentile and its 83rd percentile inside Oklahoma, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Earlsboro ranks 1,424 for wildfire risk (1 is highest) and 16,025 by building count (1 is largest). Within Oklahoma alone, it ranks 148 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Earlsboro and the insurance market
At the 96th percentile nationally, Earlsboro 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.
Hardening a home in Earlsboro
Earlsboro's 85.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Earlsboro's figures come from
The methodology guide shows exactly how USFS turned 586 counted buildings into the percentiles shown above for Earlsboro. The exposure-zones guide covers what Earlsboro's dominant direct exposure actually means, with real examples from across the dataset.