Woolstock, IA
Woolstock, IA's wildfire risk, in USFS's own numbers
USFS scores Woolstock at the 19th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 183 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Woolstock at the 17th percentile, close to its 19th-percentile risk score.
Woolstock's building exposure, zone by zone
Only 30.6% of Woolstock's 183 buildings carry Direct exposure and 0% carry Indirect; the remaining 69.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Woolstock ranks
There's little gap between Woolstock's 19th national percentile and its 30th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Woolstock ranks 25,684 for wildfire risk (1 is highest) and 25,497 by building count (1 is largest). Within Iowa alone, it ranks 712 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Woolstock and the insurance market
At the 19th national percentile, Woolstock rates low 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 Woolstock
With 69.4% of buildings rated Minimal exposure, Woolstock gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Woolstock's figures come from
Every one of the two percentiles behind Woolstock's 25,684-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Woolstock's dominant minimal exposure actually means, with real examples from across the dataset.