Renningers, PA
Renningers wildfire risk explained
USFS scores Renningers at the 48th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 311 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Renningers's burn probability — fire likelihood with no building count factored in — sits at the 47th percentile nationally.
Renningers's building exposure, zone by zone
51.1% of Renningers's 311 buildings sit in USFS's Direct exposure zone, roughly 159 structures close enough to burnable vegetation for flame contact, not just embers — 48.9% fall in the Indirect, ember-only zone and 0% are Minimal.
How Renningers compares
Within Pennsylvania, Renningers ranks higher (79th percentile) than it does nationally (48th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Renningers ranks 16,306 for wildfire risk (1 is highest) and 21,354 by building count (1 is largest). Within Pennsylvania alone, it ranks 427 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Renningers and the insurance market
Renningers's elevated rating (48th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 51.1% of Renningers 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 Renningers's figures come from
Renningers's 48th-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 Renningers's dominant direct exposure actually means, with real examples from across the dataset.