Mitchellville, IA
Mitchellville wildfire risk explained
Mitchellville sits at the 26th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,032 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mitchellville's burn probability — fire likelihood with no building count factored in — sits at the 26th percentile nationally.
What "at risk" means for the buildings here
76.5% of Mitchellville's 1,032 buildings sit in USFS's Minimal exposure zone, with only 23.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Mitchellville ranks
Mitchellville scores 26th nationally and 40th 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, Mitchellville ranks 23,355 for wildfire risk (1 is highest) and 11,710 by building count (1 is largest). Within Iowa alone, it ranks 611 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Mitchellville and the insurance market
Mitchellville's moderate rating (26th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Mitchellville
With 76.5% of buildings rated Minimal exposure, Mitchellville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Mitchellville's figures come from
Every one of the two percentiles behind Mitchellville's 23,355-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mitchellville's dominant minimal exposure actually means, with real examples from across the dataset.