The Tamarind

3, Jalan Seri Tg Pinang, Seri Tanjung Pinang, 10470 Tanjung Tokong, Penang, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM800,000
PSF
RM782
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Serviced Apt
RM800,000
Level 32
1,023 sqft · RM782 PSF
Legend Recent Highest Price Highest PSF

Selling in The Tamarind? Homes here sold for a median of RM800,000.

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

List your property free

Posts about The Tamarind

What’s happening in The Tamarind?

No posts about The Tamarind yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM800,000

RM782 psf

Median transaction price

Low

Does THE TAMARIND rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

See the yield with Plus

RM59 a month, cancel any time

The Tamarind
© OpenStreetMap · CARTO

The Tamarind, 3, Jalan Seri Tg Pinang, Seri Tanjung Pinang, 10470 Tanjung Tokong, Penang, Malaysia

Maps

The Tamarind in Timur Laut, Penang recorded 1 subsale transactions in 2026, with a median price of RM800K and a median price per square foot (PSF) of RM782.

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

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved serviced apartment, with minimal variety in property types.

For price per square foot, the median is RM782, with most transactions between RM782 and RM782. The usual range is RM709.75 to RM854.25, showing that most units are priced quite close to each other. With an IQR of RM144.50 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.