Oglesby, TX
Oglesby wildfire risk explained
USFS's Wildfire Risk to Communities model puts Oglesby at the 84th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 319 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Oglesby's burn probability — fire likelihood with no building count factored in — sits at the 81st percentile nationally.
Where Oglesby's buildings actually sit
Direct exposure dominates in Oglesby: 57.4% of its 319 buildings, versus 42.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Oglesby against the rest of the country
There's little gap between Oglesby's 84th national percentile and its 71st percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Oglesby ranks 5,182 for wildfire risk (1 is highest) and 21,132 by building count (1 is largest). Within Texas alone, it ranks 527 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
At the 84th percentile nationally, Oglesby 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 57.4% of Oglesby 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 Oglesby's figures come from
The methodology guide shows exactly how USFS turned 319 counted buildings into the percentiles shown above for Oglesby. The exposure-zones guide covers what Oglesby's dominant direct exposure actually means, with real examples from across the dataset.