Visual Appeal Ranking — New Port Richey
Updated
Which New Port Richey neighborhoods have the highest visual appeal score? All 18 neighborhoods ranked. City average: 6.24/10. How visual appeal is measured →
Top Visual Appeal Neighborhoods — Ranked
Large residences and frequent upscale amenities contribute to a more polished streetscape than the New Port Richey average. According to iHuus data, the area features spacious driveways and well-maintained property layouts.
Residential views feature a mix of standard tract housing and multi-family complexes with shared amenities. According to iHuus data, the visual quality in this area sits slightly above the New Port Richey average.
Large homes and frequent upscale amenities contribute to a visual environment that sits slightly above the New Port Richey average. According to iHuus data, the area features wide driveways and well-maintained residential properties.
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Full New Port Richey Visual Appeal Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Northwest | 7.1 | #1 | +0.9 ↑ |
| Southwest | 6.5 | #2 | +0.3 ↑ |
| North River | 6.3 | #3 | +0.1 ↑ |
| Southeast | 6.2 | #4 | — |
| East Grand | 6 | #5 | -0.2 ↓ |
| Jasmine Hills | 6 | #6 | -0.2 ↓ |
| Lake Estates | 6 | #7 | -0.2 ↓ |
| Le Clair | 6 | #8 | -0.2 ↓ |
| North Park | 6 | #9 | -0.2 ↓ |
| Sims Grant | 6 | #10 | -0.2 ↓ |
| South River | 6 | #11 | -0.2 ↓ |
| The Heights | 6 | #12 | -0.2 ↓ |
| West Grand | 6 | #13 | -0.2 ↓ |
| Big Bend | 6 | #14 | -0.2 ↓ |
| Downtown | 6 | #15 | -0.2 ↓ |
| East Madison | 6 | #16 | -0.2 ↓ |
| Schwettman Oaks | 6 | #17 | -0.2 ↓ |
| Northeast | 5.5 | #18 | -0.7 ↓ |
iHuus Neighborhood Intelligence Insights
Get address-level neighborhood insights for New Port Richey
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- Micro-zone boundaries — identify quiet pockets, flood boundaries, and walkable clusters before you visit
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- 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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