WildfireRiskFinder

Newland, NC

How exposed is Newland to wildfire?

High
66thpercentile nationally

Out of every US place USFS scores, Newland lands at the 66th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 526 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Newland at the 69th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.

Newland's building exposure, zone by zone

526Total buildings
47.5%Direct exposure
52.5%Indirect exposure
0%Minimal exposure

526 buildings are counted in Newland, and 52.5% of them are Indirect exposure — ember-driven risk rather than the 47.5% in Direct exposure or the 0% rated Minimal.

Newland against the rest of the country

Newland scores 66th nationally and 66th within North Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Newland ranks 10,627 for wildfire risk (1 is highest) and 16,929 by building count (1 is largest). Within North Carolina alone, it ranks 260 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.

Shopping for coverage in Newland

Newland's high rating (66th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

With ember exposure the dominant pattern in Newland (52.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Newland's figures come from

The methodology guide shows exactly how USFS turned 526 counted buildings into the percentiles shown above for Newland. The exposure-zones guide covers what Newland's dominant indirect exposure actually means, with real examples from across the dataset.