Taman Marlin, Sungai. Besar
Sungai Besar, 45400 Sungai Besar, Selangor, Malaysia
Sungai Besar, 45400 Sungai Besar, Selangor, Malaysia
| LIST.MY · Taman Marlin, Sungai. Besar | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Marlin 4
|
RM968,000
|
RM297
|
3,256 sqft
|
|
Semi-D |
|
Jalan Marlin 4
|
RM1,028,000
|
RM316
|
3,256 sqft
|
|
Semi-D |
|
Jalan Marlin 4
|
RM1,094,000
|
RM278
|
3,938 sqft
|
|
Semi-D |
Selling in Taman Marlin, Sungai. Besar? Homes here sold for a median of RM1,028,000.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Sungai Besar
Market Snapshot
ResidentialRM1,028,000
RM297 psfMedian transaction price
Sungai Besar, 45400 Sungai Besar, Selangor, Malaysia
MapsTaman Marlin, Sungai. Besar in Sabak Bernam, Selangor recorded 3 subsale transactions in 2024, with a median price of RM1.03 million and a median price per square foot (PSF) of RM297.
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 RM1.03 million, with most transactions falling within a stable range of RM977K to RM1.08 million, and a typical market range of RM989K to RM1.07 million.
Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM297, with most transactions between RM282 and RM313. The usual range is RM293.68 to RM300.93, showing that most units are priced quite close to each other. A typical spread (IQR) of RM7.25 and an average deviation (MAD) of RM15 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.