Midland Park, NJ
Midland Park, NJ's wildfire risk, in USFS's own numbers
USFS scores Midland Park at the 21st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,833 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 Midland Park at the 22nd percentile, close to its 21st-percentile risk score.
Where Midland Park's buildings actually sit
USFS classifies 68.2% of Midland Park's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 31.8% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Midland Park compares
Midland Park's risk sits at a similar level relative to New Jersey (6th percentile statewide) as it does nationally (21st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Midland Park ranks 25,028 for wildfire risk (1 is highest) and 5,691 by building count (1 is largest). Within New Jersey alone, it ranks 655 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Midland Park
Midland Park's moderate rating (21st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Midland Park
With 68.2% of buildings rated Minimal exposure, Midland Park gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Midland Park's figures come from
Every one of the two percentiles behind Midland Park's 25,028-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Midland Park's dominant minimal exposure actually means, with real examples from across the dataset.