La Porte City, IA
La Porte City wildfire risk explained
USFS scores La Porte City at the 44th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,383 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks La Porte City at the 44th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where La Porte City's buildings actually sit
Most of La Porte City's buildings (46.1% of 1,383) 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.
Where La Porte City ranks
La Porte City's 60th-percentile standing inside Iowa outpaces its 44th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, La Porte City ranks 17,773 for wildfire risk (1 is highest) and 9,699 by building count (1 is largest). Within Iowa alone, it ranks 412 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Shopping for coverage in La Porte City
La Porte City's elevated rating (44th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 46.1% of buildings rated Minimal exposure, La Porte City gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where La Porte City's figures come from
The methodology guide shows exactly how USFS turned 1,383 counted buildings into the percentiles shown above for La Porte City. The exposure-zones guide covers what La Porte City's dominant minimal exposure actually means, with real examples from across the dataset.