WildfireRiskFinder

Luxemburg, IA

Luxemburg wildfire risk explained

Low
5thpercentile nationally

USFS scores Luxemburg at the 5th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 163 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Luxemburg at the 5th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Luxemburg's building exposure, zone by zone

163Total buildings
14.7%Direct exposure
33.7%Indirect exposure
51.5%Minimal exposure

Luxemburg rates 51.5% Minimal exposure against just 14.7% Direct and 33.7% Indirect — of 163 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Luxemburg ranks

There's little gap between Luxemburg's 5th national percentile and its 12th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Luxemburg ranks 29,907 for wildfire risk (1 is highest) and 26,282 by building count (1 is largest). Within Iowa alone, it ranks 899 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Luxemburg

At the 5th national percentile, Luxemburg rates low 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

Luxemburg's 51.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Luxemburg's figures come from

The methodology guide shows exactly how USFS turned 163 counted buildings into the percentiles shown above for Luxemburg. The exposure-zones guide covers what Luxemburg's dominant minimal exposure actually means, with real examples from across the dataset.