WildfireRiskFinder

Trooper, PA

Trooper wildfire risk explained

Low
10thpercentile nationally

USFS's Wildfire Risk to Communities model puts Trooper at the 10th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 2,297 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Trooper at the 10th percentile, close to its 10th-percentile risk score.

Where Trooper's buildings actually sit

2,297Total buildings
52.8%Direct exposure
7.1%Indirect exposure
40.1%Minimal exposure

Of Trooper's 2,297 counted buildings, 52.8% carry Direct exposure and only 40.1% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

How Trooper compares

Trooper scores 10th nationally and 8th 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, Trooper ranks 28,446 for wildfire risk (1 is highest) and 6,703 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,833 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Trooper and the insurance market

Trooper's low rating (10th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Because Direct exposure dominates in Trooper (52.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Trooper's figures come from

Trooper's 10th-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 Trooper's dominant direct exposure actually means, with real examples from across the dataset.