New Liberty, IA
New Liberty, IA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts New Liberty at the 9th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 99 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks New Liberty at the 8th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
New Liberty's building exposure, zone by zone
USFS classifies 93.9% of New Liberty's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 6.1% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How New Liberty compares
New Liberty's risk sits at a similar level relative to Iowa (17th percentile statewide) as it does nationally (9th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, New Liberty ranks 28,839 for wildfire risk (1 is highest) and 29,076 by building count (1 is largest). Within Iowa alone, it ranks 841 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
New Liberty and the insurance market
At the 9th national percentile, New Liberty rates low 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
With 93.9% of buildings rated Minimal exposure, New Liberty gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where New Liberty's figures come from
New Liberty's 9th-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 New Liberty's dominant minimal exposure actually means, with real examples from across the dataset.