New Florence, MO
How exposed is New Florence to wildfire?
New Florence's 497 buildings earn a 51st-percentile wildfire-risk score nationally under USFS's model — modestly above the national average 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 New Florence at the 52nd percentile, close to its 51st-percentile risk score.
New Florence's building exposure, zone by zone
New Florence rates 39.8% Minimal exposure against just 28.6% Direct and 31.6% Indirect — of 497 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
New Florence against the rest of the country
New Florence ranks lower within Missouri (34th percentile statewide) than its 51st national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, New Florence ranks 15,509 for wildfire risk (1 is highest) and 17,407 by building count (1 is largest). Within Missouri alone, it ranks 704 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
What this risk score means for insurance
New Florence's elevated rating (51st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 39.8% of New Florence outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where New Florence's figures come from
Every one of the two percentiles behind New Florence's 15,509-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Florence's dominant minimal exposure actually means, with real examples from across the dataset.