Crowder, OK
Crowder, OK's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Crowder lands at the 96th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 321 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Crowder's burn probability — fire likelihood with no building count factored in — sits at the 97th percentile nationally.
Where Crowder's buildings actually sit
USFS puts 51.4% of Crowder's 321 buildings in the Indirect exposure zone, versus 48.3% Direct and 0.3% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Crowder compares
There's little gap between Crowder'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, Crowder ranks 1,391 for wildfire risk (1 is highest) and 21,071 by building count (1 is largest). Within Oklahoma alone, it ranks 140 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Crowder
At the 96th percentile nationally, Crowder 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
Crowder's 51.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Crowder's figures come from
Crowder'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 Crowder's dominant indirect exposure actually means, with real examples from across the dataset.