Monrovia, IN
How exposed is Monrovia to wildfire?
Monrovia sits at the 13th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 802 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Monrovia at the 14th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Monrovia's building exposure, zone by zone
USFS classifies 43.9% of Monrovia's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 27.1% Direct and 29.1% Indirect — a landscape-level risk rather than a building-by-building one.
Where Monrovia ranks
Monrovia's 64th-percentile standing inside Indiana outpaces its 13th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Monrovia ranks 27,321 for wildfire risk (1 is highest) and 13,610 by building count (1 is largest). Within Indiana alone, it ranks 347 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Monrovia
Monrovia's low wildfire rating (13th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Monrovia
Monrovia's 43.9% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Monrovia's figures come from
Every one of the two percentiles behind Monrovia's 27,321-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Monrovia's dominant minimal exposure actually means, with real examples from across the dataset.