Saratoga, NC
Saratoga wildfire risk explained
USFS's Wildfire Risk to Communities model puts Saratoga at the 40th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 294 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Saratoga at the 37th percentile, close to its 40th-percentile risk score.
Where Saratoga's buildings actually sit
USFS classifies 66% of Saratoga's buildings as Direct exposure, higher than its 3.7% Indirect share and far above its 30.3% Minimal share — a profile where 194 structures sit close enough to vegetation that lot clearing matters most.
How Saratoga compares
Inside North Carolina, Saratoga sits at just the 15th percentile even though it scores 40th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Saratoga ranks 19,011 for wildfire risk (1 is highest) and 21,797 by building count (1 is largest). Within North Carolina alone, it ranks 656 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Saratoga
Saratoga's moderate rating (40th 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
With 66% of Saratoga 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 Saratoga's figures come from
Saratoga's 40th-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 Saratoga's dominant direct exposure actually means, with real examples from across the dataset.