Caddo, OK
Caddo wildfire risk explained
USFS scores Caddo at the 92nd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 711 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Caddo at the 93rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Caddo's building exposure, zone by zone
57% of Caddo's 711 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 43% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Caddo ranks
Inside Oklahoma, Caddo sits at just the 55th percentile even though it scores 92nd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Caddo ranks 2,655 for wildfire risk (1 is highest) and 14,551 by building count (1 is largest). Within Oklahoma alone, it ranks 374 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Caddo
At the 92nd percentile nationally, Caddo 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
Because 57% of Caddo's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Caddo's figures come from
Caddo's 92nd-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 Caddo's dominant indirect exposure actually means, with real examples from across the dataset.