Oakland (Lawrence), PA
Oakland (Lawrence), PA's wildfire risk, in USFS's own numbers
Oakland (Lawrence)'s 1,010 buildings earn a 27th-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, Oakland (Lawrence)'s burn probability — fire likelihood with no building count factored in — sits at the 27th percentile nationally.
What "at risk" means for the buildings here
Only 39.4% of Oakland (Lawrence)'s 1,010 buildings carry Direct exposure and 18.8% carry Indirect; the remaining 41.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Oakland (Lawrence) compares
Oakland (Lawrence)'s risk sits at a similar level relative to Pennsylvania (32nd percentile statewide) as it does nationally (27th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Oakland (Lawrence) ranks 23,115 for wildfire risk (1 is highest) and 11,863 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,358 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
Oakland (Lawrence)'s moderate wildfire rating (27th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Oakland (Lawrence)'s 41.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Oakland (Lawrence)'s figures come from
Oakland (Lawrence)'s 27th-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 Oakland (Lawrence)'s dominant minimal exposure actually means, with real examples from across the dataset.