Radcliffe, IA
Radcliffe, IA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Radcliffe lands at the 4th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 425 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 Radcliffe at the 4th percentile, close to its 4th-percentile risk score.
Where Radcliffe's buildings actually sit
77.7% of Radcliffe's 425 buildings sit in USFS's Minimal exposure zone, with only 22.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Radcliffe against the rest of the country
There's little gap between Radcliffe's 4th national percentile and its 8th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Radcliffe ranks 30,225 for wildfire risk (1 is highest) and 18,746 by building count (1 is largest). Within Iowa alone, it ranks 933 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Shopping for coverage in Radcliffe
Radcliffe's low wildfire rating (4th 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.
What would actually reduce this score
Radcliffe's 77.7% 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 Radcliffe's figures come from
Radcliffe's 4th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Radcliffe's dominant minimal exposure actually means, with real examples from across the dataset.