Taman Tan Sai Gin

14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Median
RM 348,000
PSF
RM 183
Price Size
Period
transactions middle 50% (P25–P75)
1,900 sqft
2-Sty Terrace
RM 348,000
Jalan Tan Sai Gin
1,905 sqft · RM 183 PSF
RM 410,000
Jalan Tan Sai Gin
1,905 sqft · RM 215 PSF
RM 500,000
Jalan Tan Sai Gin 2
1,905 sqft · RM 262 PSF
RM 320,000
Jalan Tan Sai Gin
1,905 sqft · RM 168 PSF
RM 300,000
Jalan Tan Sai Gin
1,905 sqft · RM 157 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 348,000

RM 183 psf

Median transaction price

Taman Tan Sai Gin
© OpenStreetMap · CARTO

Taman Tan Sai Gin, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Tan Sai Gin in Seberang Perai Tengah, Penang recorded 5 subsale transactions in 2022, with a median price of RM 348K and a median price per square foot (PSF) of RM 183.

This area contains both residential and commercial properties. View 11 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 348K, with most transactions falling within a stable range of RM 300K to RM 420K, and a typical market range of RM 300K to RM 422K.

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

Price per square foot shows a median of RM 183, though individual units vary from RM 145 to RM 221 in the core range. The broader market spans RM 126.16 to RM 239.16, indicating diverse property characteristics. The spread of RM 113.00 (IQR) and deviation of RM 38 (MAD) suggest moderate price variations reflecting different property features.

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.