Visual Appeal Ranking — Fresno
Updated
Which Fresno neighborhoods have the highest visual appeal score? All 9 neighborhoods ranked. City average: 6.38/10. How visual appeal is measured →
Top Visual Appeal Neighborhoods — Ranked
Large homes with well-maintained landscaping and frequent private backyard pools characterize this area. This neighborhood presents a more aesthetically pleasing environment than the Fresno average.
Manicured lawns and large homes with private pools characterize much of the area, providing a more polished aesthetic than the Fresno average. According to iHuus data, the presence of expansive driveways and well-maintained landscaping contributes to a premium visual environment.
Large, well-maintained homes and a high density of private backyard pools contribute to an aesthetic that is slightly above the Fresno average. According to iHuus data, the area features many upscale amenities and spacious properties, though some pockets consist of denser, more uniform tract housing.
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Full Fresno Visual Appeal Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Woodward Park | 7.6 | #1 | +1.2 ↑ |
| Bullard | 7.1 | #2 | +0.7 ↑ |
| Hoover | 6.7 | #3 | +0.3 ↑ |
| Mclane | 6.2 | #4 | -0.2 ↓ |
| Fresno High Roeding | 5.9 | #5 | -0.5 ↓ |
| Roosevelt | 5.9 | #6 | -0.5 ↓ |
| West | 5.8 | #7 | -0.6 ↓ |
| Central | 5.1 | #8 | -1.3 ↓ |
| Edison | 5 | #9 | -1.4 ↓ |
iHuus Neighborhood Intelligence Insights
Get address-level neighborhood insights for Fresno
- 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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