Visual Appeal Ranking — Cupertino
Updated
Which Cupertino neighborhoods have the highest visual appeal score? All 12 neighborhoods ranked. City average: 7.65/10. How visual appeal is measured →
Top Visual Appeal Neighborhoods — Ranked
Large homes with private pools and expansive driveways characterize this area, providing a more premium aesthetic than the Cupertino average according to iHuus data.
Large homes with well-maintained landscaping and private pools characterize this area. The neighborhood offers a higher level of visual polish than the Cupertino average, according to iHuus data.
Large homes featuring private pools and multi-car driveways characterize this area. According to iHuus data, the visual environment is notably more manicured and expansive than the average Cupertino neighborhood.
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Full Cupertino Visual Appeal Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Oak Valley | 8.2 | #1 | +0.5 ↑ |
| Monta Vista North | 8.1 | #2 | +0.4 ↑ |
| Inspiration Heights | 8 | #3 | +0.3 ↑ |
| Creston-Pharlap | 8 | #4 | +0.3 ↑ |
| Garden Gate | 8 | #5 | +0.3 ↑ |
| Homestead Villa | 8 | #6 | +0.3 ↑ |
| North Blaney | 8 | #7 | +0.3 ↑ |
| Monta Vista South | 7.9 | #8 | +0.3 ↑ |
| Jollyman | 7.6 | #9 | -0.1 ↓ |
| South Blaney | 7.4 | #10 | -0.3 ↓ |
| Rancho Rinconada | 7.4 | #11 | -0.3 ↓ |
| Fair Grove | 7.3 | #12 | -0.4 ↓ |
iHuus Neighborhood Intelligence Insights
Get address-level neighborhood insights for Cupertino
- 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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