Greenwood, PA
Greenwood, PA's wildfire risk, in USFS's own numbers
USFS scores Greenwood at the 49th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,518 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Greenwood at the 47th percentile, close to its 49th-percentile risk score.
Greenwood's building exposure, zone by zone
Most of Greenwood's buildings (77.3%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Greenwood compares
Compare Greenwood's two percentiles: 80th within Pennsylvania, only 49th nationally — a gap of 31 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Greenwood ranks 16,054 for wildfire risk (1 is highest) and 9,091 by building count (1 is largest). Within Pennsylvania alone, it ranks 394 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Greenwood and the insurance market
Greenwood's elevated rating (49th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because 77.3% of Greenwood'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 Greenwood's figures come from
Greenwood's 49th-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 Greenwood's dominant indirect exposure actually means, with real examples from across the dataset.