Maitland, PA
Maitland wildfire risk explained
Maitland sits at the 51st percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 257 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Maitland at the 49th percentile, close to its 51st-percentile risk score.
Maitland's building exposure, zone by zone
Of Maitland's 257 counted buildings, 92.2% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Maitland ranks
Compare Maitland's two percentiles: 84th within Pennsylvania, only 51st nationally — a gap of 33 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Maitland ranks 15,392 for wildfire risk (1 is highest) and 22,924 by building count (1 is largest). Within Pennsylvania alone, it ranks 318 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 51st national percentile, Maitland rates elevated 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
With 92.2% of Maitland in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Maitland's figures come from
Maitland's 51st-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 Maitland's dominant direct exposure actually means, with real examples from across the dataset.