Privacy Index Ranking — San Jacinto
Updated June 22, 2026
See how neighborhoods in San Jacinto 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
Housing arrangements offer a moderate level of seclusion with mixed spacing between neighbors. According to iHuus data, this area provides more buffer between residences than the San Jacinto average.
Standard suburban spacing provides some buffer between neighbors, offering slightly more seclusion than the San Jacinto average. Shared fence lines and typical residential setbacks characterize the area according to iHuus data.
Homes in this area feature mixed spacing with some buffers between neighbors, providing a slightly higher level of seclusion than the San Jacinto average.
Full San Jacinto Privacy Index Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Villa del Monte Mobile Home Park | 6 | #1 | +0.6 ↑ |
| Mountain Bridge North | 6 | #2 | +0.6 ↑ |
| Rancho Madrina | 6 | #3 | +0.6 ↑ |
| Parkside Village | 5.3 | #4 | -0.1 ↓ |
| Belicia Ranch | 5.2 | #5 | -0.2 ↓ |
| American Village Senior Community | 5.1 | #6 | -0.3 ↓ |
| The Ranch | 4.7 | #7 | -0.7 ↓ |
| Canterwood | 4.4 | #8 | -1.0 ↓ |
| Pheasant Pointe | 4.2 | #9 | -1.2 ↓ |
iHuus Neighborhood Intelligence Insights
Get block-level neighborhood insights for San Jacinto
- 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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