Campo, CO
How exposed is Campo to wildfire?
USFS's Wildfire Risk to Communities model puts Campo at the 96th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 160 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 Campo at the 96th percentile, close to its 96th-percentile risk score.
Campo's building exposure, zone by zone
Most of Campo's buildings (74.4%) 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 Campo compares
Campo scores 96th nationally and 85th within Colorado — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Campo ranks 1,378 for wildfire risk (1 is highest) and 26,420 by building count (1 is largest). Within Colorado alone, it ranks 73 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
Campo and the insurance market
Campo's 96th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Campo
With ember exposure the dominant pattern in Campo (74.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Campo's figures come from
Every one of the two percentiles behind Campo's 1,378-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Campo's dominant indirect exposure actually means, with real examples from across the dataset.