Flood Safety Ranking — Lake Mary
Updated
Which Lake Mary neighborhoods have the highest flood safety score? All 14 neighborhoods ranked. City average: 6.45/10. How flood safety is measured →
Top Flood Safety Neighborhoods — Ranked
Residual flood risk exists within the area due to its location in a 500-year floodplain; however, safety levels remain higher than the Lake Mary city average according to iHuus data.
Residual flood risks exist within the area as it sits inside a 500-year floodplain, though safety levels remain slightly above the Lake Mary average according to iHuus data.
Residual flood risk exists within this area as it sits inside a 500-year floodplain; however, safety levels remain slightly above the Lake Mary average according to iHuus data.
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Full Lake Mary Flood Safety Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| The Forest | 7.3 | #1 | +0.8 ↑ |
| Primera | 7.1 | #2 | +0.6 ↑ |
| Manderley | 7.1 | #3 | +0.6 ↑ |
| Fountain Parke | 7.1 | #4 | +0.6 ↑ |
| Woodbridge Lakes | 7 | #5 | +0.5 ↑ |
| North Point | 6.9 | #6 | +0.5 ↑ |
| Cardinal Oaks | 6.8 | #7 | +0.3 ↑ |
| Downtown | 6.8 | #8 | +0.3 ↑ |
| Timacuan | 6.8 | #9 | +0.3 ↑ |
| Bell Timacuan | 6.6 | #10 | +0.1 ↑ |
| Huntington Pointe | 6.6 | #11 | +0.1 ↑ |
| Hills of Lake Mary | 6.4 | #12 | — |
| Tuscany at Lake Mary | 6.3 | #13 | -0.2 ↓ |
| Reserve at Lake Mary | 6 | #14 | -0.5 ↓ |
iHuus Neighborhood Intelligence Insights
Get address-level neighborhood insights for Lake Mary
- Street-level scores — see how individual blocks compare, not just neighborhood averages
- Micro-zone boundaries — identify quiet pockets, flood boundaries, and walkable clusters before you visit
- 15 dimensions in full — walkability, noise, air quality, school quality, insurance coverage, population age profile, urban/rural index, and more
- Boundary risk alerts — know if your address sits near a block boundary where scores drop, the kind of detail no listing will ever mention
- School insights — individual school ratings and insights, not just district-level data
- Compare before you commit — side-by-side data across neighborhoods, down to block precision
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