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Condos Near Novena MRT NS20

Transit accessibility is the single highest predictor of rental resilience and capital appreciation in Singapore real estate. Discover all active new launch condominiums within walking distance of Novena MRT station with live developer balance units, indicative prices, and elevation charts.

🚇 Novena MRT
🚶 5 New Launch Condominiums within ~15 min walk
🗺️ Lines: NSL

New Launches Within Walking Distance of Novena MRT

Sorted by walking distance
The Serra Residences near Novena MRT NOW SELLING
🚶 556m · ~7 min walk
D11 · Condominium / Apartment
The Serra Residences
by Far East Organization
108 left / 133 units
Indicative Price 2266264
26 Newton near Novena MRT NOW SELLING
🚶 582m · ~7 min walk
D11 · Condominium / Apartment
26 Newton
by Novelty Corp Pte Ltd
4 left / 180 units
Indicative Price 1708810
10 Evelyn near Novena MRT NOW SELLING
🚶 611m · ~8 min walk
D11 · Condominium / Apartment
10 Evelyn
by Creative Investments Pte Ltd (Amara Holdings)
1 left / 56 units
Indicative Price Price on request
Enchante near Novena MRT SOLD OUT
🚶 642m · ~8 min walk
D11 · Condominium / Apartment
Enchante
by Evelyn Pte Ltd
100% Sold Out (25 units)
Indicative Price Price on request
Lucida near Novena MRT NOW SELLING
🚶 667m · ~8 min walk
D11 · Condominium / Apartment
Lucida
by Novelty Organisation Pte Ltd
1 left / 62 units
Indicative Price 5780000

The Transit Premium: Why Condos Within Walking Distance of MRT Outperform

In land-scarce Singapore, proximity to the Mass Rapid Transit (MRT) network is a cornerstone of property value preservation. Real estate data across market cycles demonstrates that homes situated within a 10 to 12-minute walk (<1,000m) of an MRT station maintain higher tenant demand, superior rental yields, and strong secondary-market liquidity.

CondoWatch tracks real-time walking distances using exact Singapore coordinate vectors, enabling buyers to evaluate true doorstep connectivity versus developer marketing claims. Click on any development above to view real-time balance units, elevation matrices, and indicative pricing benchmarks.