Acoustic Comfort Ranking — Rancho Cordova

Updated June 22, 2026

See how neighborhoods in Rancho Cordova compare on acoustic comfort. Rankings are based on measured data aggregated across each neighborhood boundary. How acoustic comfort is measured →

Top Acoustic Comfort Neighborhoods — Ranked

#1
Sunridge Park7.2

Acoustic levels remain notably lower than the Rancho Cordova average, with sound profiles consisting mostly of infrequent distant traffic or trains. According to iHuus data, residents can expect a high level of acoustic comfort.

#2
Sunridge Anatolia5.6

Steady traffic hum from nearby busy streets is present, though acoustic conditions are notably more peaceful than the Rancho Cordova average according to iHuus data.

#3
Mills Ranch5.3

Steady noise from nearby busy streets is a common feature here. According to iHuus data, acoustic comfort in this area is notably higher than the city average.

#4
Sun River5.2

#5
Cordova Gardens4.7

#6
Rio del Oro3.8

#7
Walnut Wood3.7

#8
Mather Business3.6

#9
Stone Creek3.5

#10
Cordova Vineyards3.5

Full Rancho Cordova Acoustic Comfort Ranking

City average:3.27— scores above this beat the city average
NeighborhoodScoreCity Rankvs. City Avg
Sunridge Park7.2#1+3.9 ↑
Sunridge Anatolia5.6#2+2.3 ↑
Mills Ranch5.3#3+2.0 ↑
Sun River5.2#4+1.9 ↑
Cordova Gardens4.7#5+1.4 ↑
Rio del Oro3.8#6+0.5 ↑
Walnut Wood3.7#7+0.4 ↑
Mather Business3.6#8+0.3 ↑
Stone Creek3.5#9+0.2 ↑
Cordova Vineyards3.5#10+0.2 ↑
Capital Village3.5#11+0.2 ↑
Cordova Lane3.1#12-0.2 ↓
Cordova Meadows2.8#13-0.5 ↓
Kavalia Ranch2.1#14-1.2 ↓
Prospect Park1.6#15-1.7 ↓
South White Rock1.5#16-1.8 ↓
White Rock1.2#17-2.1 ↓
Sunrise/Jackson0.2#18-3.1 ↓
Sunrise/Jackson0.2#19-3.1 ↓

iHuus Neighborhood Intelligence Insights

Get block-level neighborhood insights for Rancho Cordova

  • 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
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  • Compare before you commit — side-by-side data across neighborhoods, down to block precision

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