Privacy Index Ranking — Timberwood Park
Updated
Which Timberwood Park neighborhoods have the highest privacy index score? All 17 neighborhoods ranked. City average: 6.27/10. How privacy index is measured →
Top Privacy Index Neighborhoods — Ranked
Residential plots feature significant separation between homes, providing a level of privacy that is slightly higher than the city average. Large lots with substantial distances between structures contribute to a sense of seclusion according to iHuus data.
Residential spacing provides a moderate level of separation between neighbors, sitting slightly below the city average for privacy. According to iHuus data, the area features mixed density with some visible buffers between properties.
Homes feature typical suburban spacing with some separation between neighbors; rear wooded areas provide an extra layer of buffer. According to iHuus data, this level of privacy is roughly in line with the city average.
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Full Timberwood Park Privacy Index Ranking
| Neighborhood | Score | City Rank | vs. City Avg |
|---|---|---|---|
| Timberwood Park | 6.6 | #1 | +0.3 ↑ |
| The Estates at Stonegate | 6 | #2 | -0.3 ↓ |
| Stonecrest | 6 | #3 | -0.3 ↓ |
| Lakeside | 6 | #4 | -0.3 ↓ |
| The Bluffs | 6 | #5 | -0.3 ↓ |
| San Miguel | 6 | #6 | -0.3 ↓ |
| The Coves | 6 | #7 | -0.3 ↓ |
| The Falls at Clementson Ranch | 6 | #8 | -0.3 ↓ |
| Summerglen | 6 | #9 | -0.3 ↓ |
| The Estates | 6 | #10 | -0.3 ↓ |
| The Crossing | 6 | #11 | -0.3 ↓ |
| The Ridge | 6 | #12 | -0.3 ↓ |
| The Waters | 6 | #13 | -0.3 ↓ |
| The Links | 6 | #14 | -0.3 ↓ |
| Coronado | 6 | #15 | -0.3 ↓ |
| The Reserve | 6 | #16 | -0.3 ↓ |
| Canyon Creek | 6 | #17 | -0.3 ↓ |
iHuus Neighborhood Intelligence Insights
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- Street-level scores — see how individual blocks compare, not just neighborhood averages
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- 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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