WildfireRiskFinder

Dover, PA

Dover, PA's wildfire risk, in USFS's own numbers

Low
7thpercentile nationally

USFS's Wildfire Risk to Communities model puts Dover at the 7th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 776 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 Dover at the 7th percentile, close to its 7th-percentile risk score.

Dover's building exposure, zone by zone

776Total buildings
18.9%Direct exposure
39.1%Indirect exposure
42%Minimal exposure

Most of Dover's buildings (42% of 776) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

How Dover compares

Dover's risk sits at a similar level relative to Pennsylvania (4th percentile statewide) as it does nationally (7th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Dover ranks 29,263 for wildfire risk (1 is highest) and 13,857 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,904 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Shopping for coverage in Dover

Dover's low rating (7th 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 42% of buildings rated Minimal exposure, Dover gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Dover's figures come from

The methodology guide shows exactly how USFS turned 776 counted buildings into the percentiles shown above for Dover. The exposure-zones guide covers what Dover's dominant minimal exposure actually means, with real examples from across the dataset.