Raymore, MO
Raymore wildfire risk explained
USFS scores Raymore at the 47th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 8,096 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Raymore at the 47th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Raymore rates 73.2% Minimal exposure against just 26.8% Direct and 0% Indirect — of 8,096 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 8,096 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Raymore compares
Raymore ranks lower within Missouri (27th percentile statewide) than its 47th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Raymore ranks 16,707 for wildfire risk (1 is highest) and 2,075 by building count (1 is largest). Within Missouri alone, it ranks 777 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Raymore and the insurance market
Raymore's elevated rating (47th 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
With 73.2% of buildings rated Minimal exposure, Raymore gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Raymore's figures come from
Raymore's 47th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Raymore's dominant minimal exposure actually means, with real examples from across the dataset.