Makakilo, HI
Makakilo, HI's wildfire risk, in USFS's own numbers
USFS scores Makakilo at the 100th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 4,657 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Makakilo at the 99th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Makakilo's buildings actually sit
Most of Makakilo's buildings (78.7%) 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 Makakilo compares
Makakilo scores 100th nationally and 98th within Hawaii — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Makakilo ranks 160 for wildfire risk (1 is highest) and 3,653 by building count (1 is largest). Within Hawaii alone, it ranks 5 of 163 places by risk. See the full county-by-county picture for Hawaii on its state page.
Shopping for coverage in Makakilo
At the 100th percentile nationally, Makakilo carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With ember exposure the dominant pattern in Makakilo (78.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Makakilo's figures come from
Every one of the two percentiles behind Makakilo's 160-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Makakilo's dominant indirect exposure actually means, with real examples from across the dataset.