Flood Safety Ranking — Culver City
Updated June 22, 2026
See how neighborhoods in Culver City compare on flood safety. Rankings are based on measured data aggregated across each neighborhood boundary. How flood safety is measured →
Top Flood Safety Neighborhoods — Ranked
Flood risk in this area is notably lower than the Culver City average, though some residual risk remains within the 500-year floodplain according to iHuus data.
Residual flood risk exists within this area due to its location in a 500-year floodplain, though safety levels remain significantly higher than the Culver City average according to iHuus data.
Residual flood risk exists within this area as it sits within a 500-year floodplain; however, safety levels are notably higher than the Culver City average according to iHuus data.
Full Culver City Flood Safety Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Sunkist Park | 7.7 | #1 | +2.5 ↑ |
| Park East | 7.7 | #2 | +2.5 ↑ |
| Jefferson | 6.7 | #3 | +1.5 ↑ |
| Blair Hills | 6.7 | #4 | +1.5 ↑ |
| Studio Village | 6.1 | #5 | +0.8 ↑ |
| Blanco/Culver Crest | 6.1 | #6 | +0.8 ↑ |
| Blanco/Culver Crest | 6.1 | #7 | +0.8 ↑ |
| Fox Hills | 6 | #8 | +0.8 ↑ |
| Park West | 5.9 | #9 | +0.7 ↑ |
| Clarkdale | 5.8 | #10 | +0.5 ↑ |
| Culver West | 4.6 | #11 | -0.7 ↓ |
| Washington Culver | 4.3 | #12 | -1.0 ↓ |
| Downtown | 4.3 | #13 | -1.0 ↓ |
| Lucerne/Higuera | 4.1 | #14 | -1.2 ↓ |
| Lucerne/Higuera | 4.1 | #15 | -1.2 ↓ |
| McLaughlin | 4 | #16 | -1.3 ↓ |
| McManus | 3.5 | #17 | -1.8 ↓ |
iHuus Neighborhood Intelligence Insights
Get block-level neighborhood insights for Culver City
- 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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