WildfireRiskFinder

Madrid, IA

How exposed is Madrid to wildfire?

Moderate
35thpercentile nationally

Madrid's 1,633 buildings earn a 35th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Madrid at the 35th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Madrid's building exposure, zone by zone

1,633Total buildings
13.5%Direct exposure
86.5%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Madrid (86.5% of 1,633 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 13.5% sit in the Direct zone.

Madrid against the rest of the country

There's little gap between Madrid's 35th national percentile and its 50th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Madrid ranks 20,415 for wildfire risk (1 is highest) and 8,638 by building count (1 is largest). Within Iowa alone, it ranks 508 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Madrid and the insurance market

At the 35th national percentile, Madrid rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

Because 86.5% of Madrid's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Madrid's figures come from

Madrid's 35th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Madrid's dominant indirect exposure actually means, with real examples from across the dataset.