Armstrong, IA
How exposed is Armstrong to wildfire?
Out of every US place USFS scores, Armstrong lands at the 27th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 649 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Armstrong at the 25th percentile, close to its 27th-percentile risk score.
What "at risk" means for the buildings here
Armstrong rates 85.8% Minimal exposure against just 14.2% Direct and 0% Indirect — of 649 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Armstrong compares
There's little gap between Armstrong's 27th national percentile and its 41st percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Armstrong ranks 23,036 for wildfire risk (1 is highest) and 15,208 by building count (1 is largest). Within Iowa alone, it ranks 596 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 27th national percentile, Armstrong rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Even with 85.8% of Armstrong 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 Armstrong's figures come from
Every one of the two percentiles behind Armstrong's 23,036-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Armstrong's dominant minimal exposure actually means, with real examples from across the dataset.