Agra, OK
How exposed is Agra to wildfire?
USFS scores Agra at the 91st national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 257 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Agra at the 93rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Agra's buildings (54.9%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Agra ranks
Agra's 91st national percentile looks worse in isolation than its 54th ranking inside Oklahoma does — this place is on the milder end for its own state, by 37 points. Among the 31,521 US communities USFS scores, Agra ranks 2,712 for wildfire risk (1 is highest) and 22,923 by building count (1 is largest). Within Oklahoma alone, it ranks 380 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Agra
Agra's 91st-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Agra
Because 54.9% of Agra'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 Agra's figures come from
Agra's 91st-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 Agra's dominant indirect exposure actually means, with real examples from across the dataset.