WildfireRiskFinder

Ulster, PA

How exposed is Ulster to wildfire?

Moderate
38thpercentile nationally

Ulster's 290 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.)

Separately from the risk score above, Ulster's burn probability — fire likelihood with no building count factored in — sits at the 37th percentile nationally.

What "at risk" means for the buildings here

290Total buildings
47.2%Direct exposure
52.8%Indirect exposure
0%Minimal exposure

290 buildings are counted in Ulster, and 52.8% of them are Indirect exposure — ember-driven risk rather than the 47.2% in Direct exposure or the 0% rated Minimal.

How Ulster compares

Ulster's 56th-percentile standing inside Pennsylvania 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, Ulster ranks 19,646 for wildfire risk (1 is highest) and 21,921 by building count (1 is largest). Within Pennsylvania alone, it ranks 873 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

What this risk score means for insurance

Ulster's moderate rating (38th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Ulster's 52.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.

Where Ulster's figures come from

Ulster'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 Ulster's dominant indirect exposure actually means, with real examples from across the dataset.