WildfireRiskFinder

Lincoln, PA

Lincoln wildfire risk explained

Moderate
28thpercentile nationally

Out of every US place USFS scores, Lincoln lands at the 28th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 714 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Lincoln's burn probability — fire likelihood with no building count factored in — sits at the 29th percentile nationally.

Where Lincoln's buildings actually sit

714Total buildings
78.3%Direct exposure
21.7%Indirect exposure
0%Minimal exposure

714 buildings are counted in Lincoln, and 78.3% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

How Lincoln compares

There's little gap between Lincoln's 28th national percentile and its 34th percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lincoln ranks 22,672 for wildfire risk (1 is highest) and 14,523 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,306 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Lincoln and the insurance market

Lincoln's moderate rating (28th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Lincoln

Because Direct exposure dominates in Lincoln (78.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Lincoln's figures come from

Lincoln's 28th-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 Lincoln's dominant direct exposure actually means, with real examples from across the dataset.