Acoustic Comfort Ranking — Menlo Park

Updated

Which Menlo Park neighborhoods have the highest acoustic comfort score? All 12 neighborhoods ranked. City average: 3.28/10. How acoustic comfort is measured →

Score: 8–10 6–8 4–6 2–4 0–2
Map showing the location of Menlo Park neighborhoods
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Top Acoustic Comfort Neighborhoods — Ranked

#1
Vintage Oaks7.8

Acoustic levels remain notably low, characterized primarily by infrequent distant traffic or occasional passing trains. This environment is significantly more tranquil than the typical noise levels found across Menlo Park, according to iHuus data.

#2
Central Menlo Park5.9

Steady sounds from nearby busy streets create a consistent level of ambient noise. This acoustic environment is notably more active than the city average for Menlo Park.

#3
Sharon Heights4.5

Steady traffic sounds from nearby busy streets are present, though levels are generally quieter than the Menlo Park average according to iHuus data.

#4
Downtown Menlo Park4.3

#5
Linfield Oaks4.1

#6
Felton Gables3.6

#7
Allied Arts3.3

#8
Menlo Oaks3.2

#9
The Willows2.8

#10
Lorelei Manor2.4

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Full Menlo Park Acoustic Comfort Ranking

City average:3.28— scores above this beat the city average
NeighborhoodScoreCity Rankvs. City Avg
Vintage Oaks7.8#1+4.5 ↑
Central Menlo Park5.9#2+2.6 ↑
Sharon Heights4.5#3+1.2 ↑
Downtown Menlo Park4.3#4+1.0 ↑
Linfield Oaks4.1#5+0.8 ↑
Felton Gables3.6#6+0.3 ↑
Allied Arts3.3#7—
Menlo Oaks3.2#8-0.1 ↓
The Willows2.8#9-0.5 ↓
Lorelei Manor2.4#10-0.9 ↓
Pine Forest2.4#11-0.9 ↓
Belle Haven1.2#12-2.1 ↓

iHuus Neighborhood Intelligence Insights

Get address-level neighborhood insights for Menlo Park

  • 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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