Newark, IL
Newark, IL's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Newark lands at the 7th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 573 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Newark at the 7th percentile, close to its 7th-percentile risk score.
Newark's building exposure, zone by zone
82.4% of Newark's 573 buildings sit in USFS's Minimal exposure zone, with only 17.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Newark against the rest of the country
Within Illinois, Newark ranks higher (34th percentile) than it does nationally (7th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Newark ranks 29,370 for wildfire risk (1 is highest) and 16,193 by building count (1 is largest). Within Illinois alone, it ranks 954 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
What this risk score means for insurance
Newark's low wildfire rating (7th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
With 82.4% of buildings rated Minimal exposure, Newark gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Newark's figures come from
Newark's 7th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Newark's dominant minimal exposure actually means, with real examples from across the dataset.