Taman Marlin, Sungai. Besar

Sungai Besar, 45400 Sungai Besar, Selangor, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM995,000
PSF
RM296
Period
transactions middle 50% (P25–P75)
3,250 sqft
Semi-D
RM968,000
Jalan Marlin 4
3,256 sqft · RM297 PSF
RM1,028,000
Jalan Marlin 4
3,256 sqft · RM316 PSF
RM970,000
Taman Marlin
3,256 sqft · RM298 PSF
RM960,000
Jalan Marlin 4
3,256 sqft · RM295 PSF
RM958,000
Jalan Marlin 4
3,256 sqft · RM294 PSF
3,450 sqft
Semi-D
RM1,020,000
Jalan Marlin 4
3,449 sqft · RM296 PSF
3,950 sqft
Semi-D
RM1,094,000
Jalan Marlin 4
3,938 sqft · RM278 PSF
4,800 sqft
Semi-D
RM1,152,000
Jalan Marlin 4
4,800 sqft · RM240 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM995,000

RM296 psf

Median transaction price

Taman Marlin, Sungai. Besar
© OpenStreetMap · CARTO

Sungai Besar, 45400 Sungai Besar, Selangor, Malaysia

Maps

Taman Marlin, Sungai. Besar in Sabak Bernam, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM995K and a median price per square foot (PSF) of RM296.

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 RM995K, with most transactions falling within a stable range of RM961K to RM1.03 million, and a typical market range of RM958K to RM1.03 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 RM296, with most transactions between RM294 and RM298. The usual range is RM292.08 to RM299.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM7.25 and an average deviation (MAD) of RM2 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.