McKee City, NJ
McKee City wildfire risk explained
McKee City's 1,754 buildings earn a 85th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts McKee City at the 83rd percentile, close to its 85th-percentile risk score.
What "at risk" means for the buildings here
69.9% of McKee City's 1,754 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 30.1% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How McKee City compares
McKee City scores 85th nationally and 90th within New Jersey — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, McKee City ranks 4,703 for wildfire risk (1 is highest) and 8,207 by building count (1 is largest). Within New Jersey alone, it ranks 73 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in McKee City
McKee City's 85th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
With ember exposure the dominant pattern in McKee City (69.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where McKee City's figures come from
Every one of the two percentiles behind McKee City's 4,703-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what McKee City's dominant indirect exposure actually means, with real examples from across the dataset.