New Freedom, PA
New Freedom wildfire risk explained
New Freedom's 1,991 buildings earn a 8th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks New Freedom at the 7th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
New Freedom's building exposure, zone by zone
USFS classifies 48.3% of New Freedom's buildings as Direct exposure, higher than its 43.2% Indirect share and far above its 8.5% Minimal share — a profile where 961 structures sit close enough to vegetation that lot clearing matters most.
New Freedom against the rest of the country
New Freedom scores 8th nationally and 5th within Pennsylvania — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, New Freedom ranks 29,168 for wildfire risk (1 is highest) and 7,513 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,897 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
New Freedom and the insurance market
New Freedom's low wildfire rating (8th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
New Freedom's 48.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where New Freedom's figures come from
New Freedom's 8th-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 Freedom's dominant direct exposure actually means, with real examples from across the dataset.