Flood Safety Ranking — San Luis Obispo
Updated June 22, 2026
See how neighborhoods in San Luis Obispo 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
Located within a coastal high-hazard zone subject to wave action, this area faces significantly higher flood risks than the rest of San Luis Obispo. Residents should anticipate elevated or potentially prohibitive flood insurance costs according to iHuus data.
Significant flood risk exists here due to its location within a coastal high-hazard zone subject to wave action. According to iHuus data, this risk is substantially higher than the San Luis Obispo city average and may result in elevated insurance costs.
Located within a coastal high-hazard zone, this area is subject to wave action and significantly higher flood vulnerability than the San Luis Obispo average. Residents should anticipate elevated or potentially prohibitive flood insurance costs according to iHuus data.
Full San Luis Obispo Flood Safety Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Railroad District | 0.6 | #1 | -2.7 ↓ |
| Mill Street District | 0.5 | #2 | -2.8 ↓ |
| Little Italy | 0.5 | #3 | -2.8 ↓ |
| Downtown | 0.4 | #4 | -2.9 ↓ |
| Japantown | 0.4 | #5 | -2.9 ↓ |
iHuus Neighborhood Intelligence Insights
Get block-level neighborhood insights for San Luis Obispo
- 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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