Beaconsfield, IA
Beaconsfield, IA's wildfire risk, in USFS's own numbers
USFS scores Beaconsfield at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 37 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Beaconsfield's burn probability — fire likelihood with no building count factored in — sits at the 67th percentile nationally.
Where Beaconsfield's buildings actually sit
USFS classifies 51.4% of Beaconsfield's buildings as Direct exposure, higher than its 43.2% Indirect share and far above its 5.4% Minimal share — a profile where 19 structures sit close enough to vegetation that lot clearing matters most.
Where Beaconsfield ranks
Compare Beaconsfield's two percentiles: 89th within Iowa, only 66th nationally — a gap of 24 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Beaconsfield ranks 10,807 for wildfire risk (1 is highest) and 31,225 by building count (1 is largest). Within Iowa alone, it ranks 109 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
Beaconsfield's high rating (66th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
With 51.4% of Beaconsfield in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Beaconsfield's figures come from
The methodology guide shows exactly how USFS turned 37 counted buildings into the percentiles shown above for Beaconsfield. The exposure-zones guide covers what Beaconsfield's dominant direct exposure actually means, with real examples from across the dataset.