Meadowlands, PA
Meadowlands, PA's wildfire risk, in USFS's own numbers
USFS scores Meadowlands at the 31st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 584 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Meadowlands at the 33rd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Meadowlands's building exposure, zone by zone
584 buildings are counted in Meadowlands, and 80.5% of them are Indirect exposure — ember-driven risk rather than the 19.5% in Direct exposure or the 0% rated Minimal.
How Meadowlands compares
Meadowlands scores 31st nationally and 40th 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, Meadowlands ranks 21,787 for wildfire risk (1 is highest) and 16,050 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,190 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
At the 31st national percentile, Meadowlands rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because 80.5% of Meadowlands's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Meadowlands's figures come from
Every one of the two percentiles behind Meadowlands's 21,787-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Meadowlands's dominant indirect exposure actually means, with real examples from across the dataset.