Blooming Grove, TX
Blooming Grove, TX's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Blooming Grove at the 84th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 536 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Blooming Grove at the 84th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Blooming Grove's building exposure, zone by zone
536 buildings are counted in Blooming Grove, and 53.7% of them are Indirect exposure — ember-driven risk rather than the 46.3% in Direct exposure or the 0% rated Minimal.
Blooming Grove against the rest of the country
Blooming Grove's risk sits at a similar level relative to Texas (70th percentile statewide) as it does nationally (84th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Blooming Grove ranks 5,209 for wildfire risk (1 is highest) and 16,789 by building count (1 is largest). Within Texas alone, it ranks 528 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
Blooming Grove's very high rating (84th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Blooming Grove
Because 53.7% of Blooming Grove'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 Blooming Grove's figures come from
The methodology guide shows exactly how USFS turned 536 counted buildings into the percentiles shown above for Blooming Grove. The exposure-zones guide covers what Blooming Grove's dominant indirect exposure actually means, with real examples from across the dataset.