Privacy Index Ranking — Hawthorne
Updated June 22, 2026
See how neighborhoods in Hawthorne compare on privacy index. Rankings are based on measured data aggregated across each neighborhood boundary. How privacy index is measured →
Top Privacy Index Neighborhoods — Ranked
Residential spacing provides more buffer between neighbors than the Hawthorne average, though some areas feature closely spaced homes and shared property lines. According to iHuus data, the neighborhood maintains a mix of density levels with varying degrees of separation between structures.
Housing structures are positioned in close proximity with narrow gaps between neighboring homes. This level of residential density is slightly higher than the average for Hawthorne, according to iHuus data.
Residential lots feature high density with houses positioned very near one another. According to iHuus data, this level of closeness is slightly higher than the Hawthorne average.
Full Hawthorne Privacy Index Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Parkside Village | 4.6 | #1 | +1.5 ↑ |
| Bodger Park | 3.5 | #2 | +0.4 ↑ |
| Holly Park | 3.5 | #3 | +0.4 ↑ |
| North Hawthorne | 3.5 | #4 | +0.4 ↑ |
| Hollyglen | 3.3 | #5 | +0.2 ↑ |
| North West Hawthorne | 3.2 | #6 | +0.1 ↑ |
| Ramona | 3.1 | #7 | — |
| Burleigh Tract | 2.9 | #8 | -0.2 ↓ |
| Moneta Gardens | 2.9 | #9 | -0.2 ↓ |
iHuus Neighborhood Intelligence Insights
Get block-level neighborhood insights for Hawthorne
- 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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