Taman Seri Sutera (Taman Seri Pengkalan)

KM2, Jalan Seri Sutera Fasa 2 Utama, Rumah Awam Seri Pengkalan, 78000 Alor Gajah, Melaka, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 170,000
PSF
RM 132
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM 160,000
Jalan SS 5
1,098 sqft · RM 146 PSF
1,200 sqft
Terrace
RM 160,000
Jalan SS 3
1,195 sqft · RM 134 PSF
1,400 sqft
Terrace
RM 180,000
Jalan SS 6
1,389 sqft · RM 130 PSF
1,650 sqft
LC House
RM 180,000
Jalan SS 18
1,647 sqft · RM 109 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 170,000

RM 132 psf

Median transaction price

Taman Seri Sutera (Taman Seri Pengkalan)
© OpenStreetMap · CARTO

KM2, Jalan Seri Sutera Fasa 2 Utama, Rumah Awam Seri Pengkalan, 78000 Alor Gajah, Melaka, Malaysia

Maps

Taman Seri Sutera (Taman Seri Pengkalan) in Alor Gajah, Melaka recorded 4 subsale transactions in 2021, with a median price of RM 170K and a median price per square foot (PSF) of RM 132.

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 170K, with most transactions falling within a stable range of RM 160K to RM 180K, and a typical market range of RM 160K to RM 180K.

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

For price per square foot, the median is RM 132, with most transactions between RM 119 and RM 145. The usual range is RM 122.77 to RM 140.77, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 18.00 and an average deviation (MAD) of RM 13 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. 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.