Greene, IA
How exposed is Greene to wildfire?
Greene sits at the 21st 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 877 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Greene's burn probability — fire likelihood with no building count factored in — sits at the 21st percentile nationally.
Greene's building exposure, zone by zone
USFS classifies 86.6% of Greene's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 13.5% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Greene compares
There's little gap between Greene's 21st national percentile and its 35th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Greene ranks 24,802 for wildfire risk (1 is highest) and 12,929 by building count (1 is largest). Within Iowa alone, it ranks 667 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Shopping for coverage in Greene
Greene's moderate rating (21st 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
Even with 86.6% of Greene outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Greene's figures come from
Every one of the two percentiles behind Greene's 24,802-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Greene's dominant minimal exposure actually means, with real examples from across the dataset.