WildfireRiskFinder

Eldorado, PA

Eldorado wildfire risk explained

Moderate
38thpercentile nationally

USFS's Wildfire Risk to Communities model puts Eldorado at the 38th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 427 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Eldorado at the 36th percentile, close to its 38th-percentile risk score.

Eldorado's building exposure, zone by zone

427Total buildings
53.6%Direct exposure
46.4%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Eldorado: 53.6% of its 427 buildings, versus 46.4% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

How Eldorado compares

Within Pennsylvania, Eldorado ranks higher (56th percentile) than it does nationally (38th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Eldorado ranks 19,706 for wildfire risk (1 is highest) and 18,720 by building count (1 is largest). Within Pennsylvania alone, it ranks 879 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

Eldorado's moderate rating (38th 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

Because Direct exposure dominates in Eldorado (53.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Eldorado's figures come from

The methodology guide shows exactly how USFS turned 427 counted buildings into the percentiles shown above for Eldorado. The exposure-zones guide covers what Eldorado's dominant direct exposure actually means, with real examples from across the dataset.