WildfireRiskFinder

Rutledge, PA

Rutledge wildfire risk explained

Low
16thpercentile nationally

Rutledge's 323 buildings earn a 16th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Rutledge's burn probability — fire likelihood with no building count factored in — sits at the 17th percentile nationally.

Where Rutledge's buildings actually sit

323Total buildings
18.6%Direct exposure
0%Indirect exposure
81.4%Minimal exposure

Only 18.6% of Rutledge's 323 buildings carry Direct exposure and 0% carry Indirect; the remaining 81.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.

Where Rutledge ranks

Rutledge's risk sits at a similar level relative to Pennsylvania (16th percentile statewide) as it does nationally (16th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Rutledge ranks 26,547 for wildfire risk (1 is highest) and 21,022 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,679 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Shopping for coverage in Rutledge

Rutledge's low rating (16th 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

Even with 81.4% of Rutledge 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 Rutledge's figures come from

The methodology guide shows exactly how USFS turned 323 counted buildings into the percentiles shown above for Rutledge. The exposure-zones guide covers what Rutledge's dominant minimal exposure actually means, with real examples from across the dataset.