Taman Sungai Rambai Anggun

Jalan Tambak Merah, 77400 Sungai Rambai, Melaka, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 370,000
PSF
RM 102
Price Size
3,450 sqft
Semi-D
RM 365,000
Jalan Tambak Merah
3,471 sqft · RM 105 PSF
3,600 sqft
Semi-D
RM 370,000
Jalan Tambak Merah
3,600 sqft · RM 103 PSF
RM 370,000
Jalan Tambak Merah
3,612 sqft · RM 102 PSF
RM 370,000
Jalan Tambak Merah
3,612 sqft · RM 102 PSF
RM 370,000
Jalan Tambak Merah
3,612 sqft · RM 102 PSF
3,700 sqft
Semi-D
RM 374,000
Jalan Tambak Merah
3,688 sqft · RM 101 PSF
4,200 sqft
Semi-D
RM 383,000
Jalan Tambak Merah
4,197 sqft · RM 91 PSF
4,950 sqft
Semi-D
RM 397,000
Jalan Tambak Merah
4,945 sqft · RM 80 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 370,000

RM 102 psf

Median transaction price

Taman Sungai Rambai Anggun
© OpenStreetMap · CARTO

Jalan Tambak Merah, 77400 Sungai Rambai, Melaka, Malaysia

Maps

Taman Sungai Rambai Anggun in Jasin, Melaka recorded 8 subsale transactions in 2023, with a median price of RM 370K and a median price per square foot (PSF) of RM 102.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 370K, with most transactions falling within a stable range of RM 365K to RM 380K, and a typical market range of RM 365K to RM 377K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.

For price per square foot, the median is RM 102, with most transactions between RM 95 and RM 110. The usual range is RM 100.18 to RM 104.68, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 4.50 and an average deviation (MAD) of RM 8 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.