Halbur, IA
Halbur, IA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Halbur lands at the 11th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 158 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Halbur at the 10th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Only 7.6% of Halbur's 158 buildings carry Direct exposure and 0% carry Indirect; the remaining 92.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Halbur against the rest of the country
There's little gap between Halbur's 11th national percentile and its 20th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Halbur ranks 28,138 for wildfire risk (1 is highest) and 26,525 by building count (1 is largest). Within Iowa alone, it ranks 813 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Halbur and the insurance market
Halbur's low wildfire rating (11th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Halbur's 92.4% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Halbur's figures come from
Every one of the two percentiles behind Halbur's 28,138-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Halbur's dominant minimal exposure actually means, with real examples from across the dataset.