Parker, SC
How exposed is Parker to wildfire?
Parker's 5,930 buildings earn a 55th-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 Parker at the 58th percentile, close to its 55th-percentile risk score.
Parker's building exposure, zone by zone
Parker rates 62% Minimal exposure against just 22.4% Direct and 15.5% Indirect — of 5,930 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 5,930 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Parker ranks
Parker's 55th national percentile looks worse in isolation than its 9th ranking inside South Carolina does — this place is on the milder end for its own state, by 46 points. Among the 31,521 US communities USFS scores, Parker ranks 14,226 for wildfire risk (1 is highest) and 2,907 by building count (1 is largest). Within South Carolina alone, it ranks 430 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Parker and the insurance market
Parker's elevated rating (55th 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
Even with 62% of Parker outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Parker's figures come from
Parker's 55th-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 Parker's dominant minimal exposure actually means, with real examples from across the dataset.