New Hope, AL
How exposed is New Hope to wildfire?
USFS's Wildfire Risk to Communities model puts New Hope at the 43rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 1,816 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Hope's burn probability — fire likelihood with no building count factored in — sits at the 46th percentile nationally.
What "at risk" means for the buildings here
1,816 buildings are counted in New Hope, and 72.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
New Hope against the rest of the country
New Hope ranks lower within Alabama (4th percentile statewide) than its 43rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, New Hope ranks 18,015 for wildfire risk (1 is highest) and 8,015 by building count (1 is largest). Within Alabama alone, it ranks 567 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
New Hope and the insurance market
New Hope's elevated wildfire rating (43rd 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.
What would actually reduce this score
With 72.7% of New Hope 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 New Hope's figures come from
Every one of the two percentiles behind New Hope's 18,015-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Hope's dominant direct exposure actually means, with real examples from across the dataset.