New Providence, IA
New Providence wildfire risk explained
New Providence sits at the 36th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 170 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Providence's burn probability — fire likelihood with no building count factored in — sits at the 36th percentile nationally.
Where New Providence's buildings actually sit
New Providence rates 71.8% Minimal exposure against just 28.2% Direct and 0% Indirect — of 170 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where New Providence ranks
Within Iowa, New Providence ranks higher (51st percentile) than it does nationally (36th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, New Providence ranks 20,133 for wildfire risk (1 is highest) and 26,023 by building count (1 is largest). Within Iowa alone, it ranks 495 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
What this risk score means for insurance
At the 36th national percentile, New Providence rates moderate 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
With 71.8% of buildings rated Minimal exposure, New Providence 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 Providence's figures come from
The methodology guide shows exactly how USFS turned 170 counted buildings into the percentiles shown above for New Providence. The exposure-zones guide covers what New Providence's dominant minimal exposure actually means, with real examples from across the dataset.