Las Animas, CO
Las Animas wildfire risk explained
Las Animas's 1,570 buildings earn a 67th-percentile wildfire-risk score nationally under USFS's model — well above the national norm 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 Las Animas at the 66th percentile, close to its 67th-percentile risk score.
What "at risk" means for the buildings here
USFS puts 88.9% of Las Animas's 1,570 buildings in the Indirect exposure zone, versus 11.1% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Las Animas against the rest of the country
Las Animas ranks lower within Colorado (34th percentile statewide) than its 67th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Las Animas ranks 10,390 for wildfire risk (1 is highest) and 8,883 by building count (1 is largest). Within Colorado alone, it ranks 313 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
Shopping for coverage in Las Animas
At the 67th percentile nationally, Las Animas carries the 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.
Hardening a home in Las Animas
Las Animas's 88.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Las Animas's figures come from
Every one of the two percentiles behind Las Animas's 10,390-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Las Animas's dominant indirect exposure actually means, with real examples from across the dataset.