Kent Estates, IA
Kent Estates wildfire risk explained
Kent Estates sits at the 56th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 866 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kent Estates at the 59th percentile, close to its 56th-percentile risk score.
What "at risk" means for the buildings here
Direct exposure dominates in Kent Estates: 85% of its 866 buildings, versus 0% Indirect and 15% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Kent Estates against the rest of the country
Within Iowa, Kent Estates ranks higher (77th percentile) than it does nationally (56th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Kent Estates ranks 13,861 for wildfire risk (1 is highest) and 13,020 by building count (1 is largest). Within Iowa alone, it ranks 238 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Kent Estates and the insurance market
Kent Estates's elevated rating (56th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because Direct exposure dominates in Kent Estates (85%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Kent Estates's figures come from
Every one of the two percentiles behind Kent Estates's 13,861-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kent Estates's dominant direct exposure actually means, with real examples from across the dataset.