Doolittle, MO
How exposed is Doolittle to wildfire?
USFS scores Doolittle at the 68th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 500 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Doolittle at the 70th percentile, close to its 68th-percentile risk score.
Doolittle's building exposure, zone by zone
Direct exposure dominates in Doolittle: 89.8% of its 500 buildings, versus 10.2% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Doolittle against the rest of the country
Doolittle scores 68th nationally and 79th within Missouri — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Doolittle ranks 9,959 for wildfire risk (1 is highest) and 17,357 by building count (1 is largest). Within Missouri alone, it ranks 229 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Doolittle and the insurance market
At the 68th percentile nationally, Doolittle 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 Doolittle
With 89.8% of Doolittle 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 Doolittle's figures come from
The methodology guide shows exactly how USFS turned 500 counted buildings into the percentiles shown above for Doolittle. The exposure-zones guide covers what Doolittle's dominant direct exposure actually means, with real examples from across the dataset.