Rembrandt, IA
Rembrandt, IA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Rembrandt lands at the 2nd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 141 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rembrandt at the 2nd percentile, close to its 2nd-percentile risk score.
Rembrandt's building exposure, zone by zone
USFS classifies 90.1% of Rembrandt's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 9.9% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Rembrandt against the rest of the country
Rembrandt scores 2nd nationally and 3rd within Iowa — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Rembrandt ranks 30,893 for wildfire risk (1 is highest) and 27,249 by building count (1 is largest). Within Iowa alone, it ranks 988 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Rembrandt and the insurance market
Rembrandt's low wildfire rating (2nd 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
Rembrandt's 90.1% 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 Rembrandt's figures come from
Every one of the two percentiles behind Rembrandt's 30,893-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rembrandt's dominant minimal exposure actually means, with real examples from across the dataset.