New Britain, PA
How exposed is New Britain to wildfire?
Out of every US place USFS scores, New Britain lands at the 14th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,010 buildings, not the land around them. (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 Britain at the 13th percentile, close to its 14th-percentile risk score.
Where New Britain's buildings actually sit
Of New Britain's 1,010 counted buildings, 56.4% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
New Britain against the rest of the country
There's little gap between New Britain's 14th national percentile and its 12th percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, New Britain ranks 27,276 for wildfire risk (1 is highest) and 11,862 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,745 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in New Britain
At the 14th national percentile, New Britain 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
Because Direct exposure dominates in New Britain (56.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where New Britain's figures come from
Every one of the two percentiles behind New Britain's 27,276-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Britain's dominant direct exposure actually means, with real examples from across the dataset.