WildfireRiskFinder

Lytton, IA

Lytton, IA's wildfire risk, in USFS's own numbers

Low
3rdpercentile nationally

USFS scores Lytton at the 3rd national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 226 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 Lytton at the 3rd percentile, close to its 3rd-percentile risk score.

What "at risk" means for the buildings here

226Total buildings
12%Direct exposure
0%Indirect exposure
88.1%Minimal exposure

Most of Lytton's buildings (88.1% of 226) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Lytton against the rest of the country

There's little gap between Lytton's 3rd national percentile and its 5th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lytton ranks 30,576 for wildfire risk (1 is highest) and 23,913 by building count (1 is largest). Within Iowa alone, it ranks 962 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Lytton

Lytton's low rating (3rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Lytton

With 88.1% of buildings rated Minimal exposure, Lytton gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Lytton's figures come from

The methodology guide shows exactly how USFS turned 226 counted buildings into the percentiles shown above for Lytton. The exposure-zones guide covers what Lytton's dominant minimal exposure actually means, with real examples from across the dataset.