Panorama Park, IA
How exposed is Panorama Park to wildfire?
USFS's Wildfire Risk to Communities model puts Panorama Park at the 53rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 90 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Panorama Park's burn probability — fire likelihood with no building count factored in — sits at the 57th percentile nationally.
What "at risk" means for the buildings here
64.4% of Panorama Park's 90 buildings sit in USFS's Minimal exposure zone, with only 35.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Panorama Park against the rest of the country
Panorama Park's 73rd-percentile standing inside Iowa outpaces its 53rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Panorama Park ranks 14,870 for wildfire risk (1 is highest) and 29,490 by building count (1 is largest). Within Iowa alone, it ranks 280 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Shopping for coverage in Panorama Park
Panorama Park's elevated rating (53rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 64.4% of buildings rated Minimal exposure, Panorama Park gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Panorama Park's figures come from
The methodology guide shows exactly how USFS turned 90 counted buildings into the percentiles shown above for Panorama Park. The exposure-zones guide covers what Panorama Park's dominant minimal exposure actually means, with real examples from across the dataset.