Carlisle, OK
Carlisle, OK's wildfire risk, in USFS's own numbers
Carlisle's 552 buildings earn a 95th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Carlisle at the 97th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Carlisle's building exposure, zone by zone
USFS classifies 100% of Carlisle's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 552 structures sit close enough to vegetation that lot clearing matters most.
Where Carlisle ranks
There's little gap between Carlisle's 95th national percentile and its 80th percentile inside Oklahoma, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Carlisle ranks 1,519 for wildfire risk (1 is highest) and 16,544 by building count (1 is largest). Within Oklahoma alone, it ranks 163 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 95th percentile nationally, Carlisle 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.
Lowering exposure, not just insuring around it
With 100% of Carlisle 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 Carlisle's figures come from
Carlisle's 95th-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 Carlisle's dominant direct exposure actually means, with real examples from across the dataset.