Parker Strip, AZ
Parker Strip wildfire risk explained
Parker Strip's 1,507 buildings earn a 49th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Parker Strip at the 50th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Parker Strip's buildings actually sit
Most of Parker Strip's buildings (85.2%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Parker Strip compares
Parker Strip ranks lower within Arizona (17th percentile statewide) than its 49th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Parker Strip ranks 16,189 for wildfire risk (1 is highest) and 9,132 by building count (1 is largest). Within Arizona alone, it ranks 367 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Shopping for coverage in Parker Strip
Parker Strip's elevated rating (49th 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 ember exposure the dominant pattern in Parker Strip (85.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Parker Strip's figures come from
Parker Strip's 49th-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 Strip's dominant indirect exposure actually means, with real examples from across the dataset.