WildfireRiskFinder

Springdale, NC

Springdale wildfire risk explained

Elevated
50thpercentile nationally

Springdale's 664 buildings earn a 50th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Springdale at the 54th percentile, close to its 50th-percentile risk score.

What "at risk" means for the buildings here

664Total buildings
60.7%Direct exposure
39.3%Indirect exposure
0%Minimal exposure

60.7% of Springdale's 664 buildings sit in USFS's Direct exposure zone, roughly 403 structures close enough to burnable vegetation for flame contact, not just embers — 39.3% fall in the Indirect, ember-only zone and 0% are Minimal.

Where Springdale ranks

Springdale scores 50th nationally and 39th 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, Springdale ranks 15,641 for wildfire risk (1 is highest) and 15,019 by building count (1 is largest). Within North Carolina alone, it ranks 473 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.

Springdale and the insurance market

Springdale's elevated rating (50th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Because Direct exposure dominates in Springdale (60.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Springdale's figures come from

Springdale's 50th-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 Springdale's dominant direct exposure actually means, with real examples from across the dataset.