New Hartford, IA
How exposed is New Hartford to wildfire?
New Hartford's 385 buildings earn a 38th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New Hartford at the 37th percentile, close to its 38th-percentile risk score.
New Hartford's building exposure, zone by zone
Most of New Hartford's buildings (83.6% of 385) 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 New Hartford ranks
New Hartford's 53rd-percentile standing inside Iowa outpaces its 38th 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, New Hartford ranks 19,659 for wildfire risk (1 is highest) and 19,521 by building count (1 is largest). Within Iowa alone, it ranks 480 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
New Hartford and the insurance market
At the 38th national percentile, New Hartford rates moderate 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
Even with 83.6% of New Hartford outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where New Hartford's figures come from
New Hartford's 38th-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 Hartford's dominant minimal exposure actually means, with real examples from across the dataset.