Taman Sungai Rambai

14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

6 subsales grouped by size · Terrace →

Median
RM 372,500
PSF
RM 244
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM 410,000
Medan Betek
1,300 sqft · RM 315 PSF
RM 480,000
Medan Betek
1,300 sqft · RM 369 PSF
RM 265,000
Lorong Betik 7
1,300 sqft · RM 204 PSF
RM 335,000
Medan Betek
1,300 sqft · RM 258 PSF
1,850 sqft
2-Sty Terrace
RM 430,000
Jalan Betek
1,862 sqft · RM 231 PSF
1,950 sqft
Terrace
RM 326,000
Medan Betek
1,950 sqft · RM 167 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 372,500

RM 244 psf

Median transaction price

Taman Sungai Rambai
© OpenStreetMap · CARTO

Taman Sungai Rambai, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Sungai Rambai in Seberang Perai Tengah, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 373K and a median price per square foot (PSF) of RM 244.

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 RM 373K, with most transactions falling within a stable range of RM 300K to RM 445K, and a typical market range of RM 290K to RM 455K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM 244, though individual units vary from RM 177 to RM 312 in the core range. The broader market spans RM 196.81 to RM 291.81, indicating diverse property characteristics. A wider spread (IQR: RM 95.00) and deviation (MAD: RM 68) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.