Latta, OK
Latta wildfire risk explained
USFS scores Latta at the 92nd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 754 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Latta 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
70.7% of Latta's 754 buildings sit in USFS's Direct exposure zone, roughly 533 structures close enough to burnable vegetation for flame contact, not just embers — 29.3% fall in the Indirect, ember-only zone and 0% are Minimal.
How Latta compares
Latta ranks lower within Oklahoma (56th percentile statewide) than its 92nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Latta ranks 2,620 for wildfire risk (1 is highest) and 14,084 by building count (1 is largest). Within Oklahoma alone, it ranks 370 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Latta
At the 92nd percentile nationally, Latta 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 Latta
Latta's 70.7% 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 Latta's figures come from
Every one of the two percentiles behind Latta's 2,620-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Latta's dominant direct exposure actually means, with real examples from across the dataset.