Taman Nusantara

10000 George Town, Pulau Pinang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM100,000
PSF
RM155
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Flat
RM105,000
Level 3
647 sqft · RM162 PSF
RM100,000
Level 1
647 sqft · RM155 PSF
RM90,000
Level 1
647 sqft · RM139 PSF
RM100,000
Level 3
647 sqft · RM155 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Nusantara? Homes here sold for a median of RM100,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Nusantara

What’s happening in Taman Nusantara?

No posts about Taman Nusantara yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM100,000

RM155 psf

Median transaction price

Taman Nusantara
© OpenStreetMap · CARTO

Taman Nusantara, 10000 George Town, Pulau Pinang, Malaysia

Maps

Taman Nusantara in Timur Laut, Penang recorded 4 subsale transactions in 2023, with a median price of RM100K and a median price per square foot (PSF) of RM155.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM100K, with most transactions falling within a stable range of RM95K to RM105K, and a typical market range of RM90K to RM105K.

Most transactions involved flats, with minimal variety in property types.

For price per square foot, the median is RM155, with most transactions between RM146 and RM163. The usual range is RM131.75 to RM177.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.50 and an average deviation (MAD) of RM8 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.