Coinjock, NC
Coinjock, NC's wildfire risk, in USFS's own numbers
Coinjock's 263 buildings earn a 87th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Coinjock at the 84th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Coinjock's building exposure, zone by zone
Direct exposure dominates in Coinjock: 85.6% of its 263 buildings, versus 14.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Coinjock ranks
Coinjock scores 87th nationally and 96th 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, Coinjock ranks 4,096 for wildfire risk (1 is highest) and 22,742 by building count (1 is largest). Within North Carolina alone, it ranks 30 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Coinjock
At the 87th percentile nationally, Coinjock 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.
Lowering exposure, not just insuring around it
With 85.6% of Coinjock 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 Coinjock's figures come from
The methodology guide shows exactly how USFS turned 263 counted buildings into the percentiles shown above for Coinjock. The exposure-zones guide covers what Coinjock's dominant direct exposure actually means, with real examples from across the dataset.