Auburn, NJ
Auburn wildfire risk explained
Out of every US place USFS scores, Auburn lands at the 48th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 569 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Auburn at the 48th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Auburn's buildings actually sit
Of Auburn's 569 counted buildings, 83.3% carry Direct exposure and only 16.7% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Auburn compares
Auburn scores 48th nationally and 53rd 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, Auburn ranks 16,517 for wildfire risk (1 is highest) and 16,268 by building count (1 is largest). Within New Jersey alone, it ranks 328 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
What this risk score means for insurance
At the 48th national percentile, Auburn rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 83.3% of Auburn 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 Auburn's figures come from
Every one of the two percentiles behind Auburn's 16,517-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Auburn's dominant direct exposure actually means, with real examples from across the dataset.