Visual Appeal Ranking — Pasadena

Updated

Which Pasadena neighborhoods have the highest visual appeal score? All 9 neighborhoods ranked. City average: 7.32/10. How visual appeal is measured →

Score: 8–10 6–8 4–6 2–4 0–2
Map showing the location of Pasadena neighborhoods
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Top Visual Appeal Neighborhoods — Ranked

#1
North Arroyo8.2

Large homes with well-maintained landscaping and private backyard pools characterize the area. According to iHuus data, the visual quality of properties in this neighborhood is notably higher than the Pasadena average.

#2
North East8

Large lots with well-maintained lawns and private pools characterize the landscape. According to iHuus data, the visual quality of this area is higher than the Pasadena average.

#3
East Central7.6

Manicured lots with large homes and frequent private backyard pools characterize this area. According to iHuus data, the visual quality of the neighborhood is slightly above the Pasadena average.

#4
South7.5

#5
South Arroyo7.4

#6
South East7.4

#7
Mid Central6.8

#8
West Central6.5

#9
North Central6.5

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Full Pasadena Visual Appeal Ranking

City average:7.32— scores above this beat the city average
NeighborhoodScoreCity Rankvs. City Avg
North Arroyo8.2#1+0.9 ↑
North East8#2+0.7 ↑
East Central7.6#3+0.3 ↑
South7.5#4+0.2 ↑
South Arroyo7.4#5+0.1 ↑
South East7.4#6+0.1 ↑
Mid Central6.8#7-0.5 ↓
West Central6.5#8-0.8 ↓
North Central6.5#9-0.8 ↓

iHuus Neighborhood Intelligence Insights

Get address-level neighborhood insights for Pasadena

  • 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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