Urban-Rural Index Ranking — Pasadena
Updated
Which Pasadena neighborhoods have the highest urban-rural index score? All 9 neighborhoods ranked. City average: 6.51/10. How urban-rural index is measured →
Top Urban-Rural Index Neighborhoods — Ranked
Large expanses of undeveloped canyon terrain and hilly open space create a more rural atmosphere than the typical Pasadena suburban landscape. According to iHuus data, the area features a significant amount of natural greenery and low-density residential estates.
Open land and rugged hills create a more spread out environment than the Pasadena average. This area features a mix of low-density residential fringes and vast green spaces according to iHuus data.
Frequent open land and scattered homes among woodland areas provide a slightly more semi-rural character than the Pasadena average. This landscape features a mix of single-family residences and some larger commercial structures near main roads, according to iHuus data.
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Full Pasadena Urban-Rural Index Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| North Arroyo | 7.6 | #1 | +1.1 ↑ |
| North East | 6.8 | #2 | +0.3 ↑ |
| South Arroyo | 6.7 | #3 | +0.2 ↑ |
| East Central | 6.7 | #4 | +0.2 ↑ |
| South East | 6.6 | #5 | +0.1 ↑ |
| North Central | 6.5 | #6 | — |
| Mid Central | 6.3 | #7 | -0.2 ↓ |
| South | 5.5 | #8 | -1.0 ↓ |
| West Central | 5.5 | #9 | -1.0 ↓ |
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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