Parkersburg, IA
Parkersburg wildfire risk explained
Parkersburg sits at the 28th 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 1,086 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Parkersburg's burn probability — fire likelihood with no building count factored in — sits at the 27th percentile nationally.
What "at risk" means for the buildings here
85.3% of Parkersburg's 1,086 buildings sit in USFS's Minimal exposure zone, with only 14.7% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Parkersburg ranks
There's little gap between Parkersburg's 28th national percentile and its 42nd percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Parkersburg ranks 22,717 for wildfire risk (1 is highest) and 11,363 by building count (1 is largest). Within Iowa alone, it ranks 587 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
What this risk score means for insurance
At the 28th national percentile, Parkersburg rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Parkersburg
With 85.3% of buildings rated Minimal exposure, Parkersburg gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Parkersburg's figures come from
Parkersburg's 28th-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 Parkersburg's dominant minimal exposure actually means, with real examples from across the dataset.