Taman Marlin, Sungai. Besar

Malaysia, Selangor, Sungai Besar, Taman MarlinNo 2Jalan, 45300

Property Transactions

7 subsales grouped by size

Median
RM599,000
PSF
RM323
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
2-Sty Terrace
RM557,000
Jalan Marlin 2
1,668 sqft · RM334 PSF
RM539,000
Jalan Marlin 2
1,668 sqft · RM323 PSF
RM599,000
Jalan Marlin 3
1,668 sqft · RM359 PSF
RM599,000
Jalan Marlin 2
1,668 sqft · RM359 PSF
RM539,000
Jalan Marlin 3
1,668 sqft · RM323 PSF
2,650 sqft
2-Sty Terrace
RM640,000
Jalan Merlin 2
2,669 sqft · RM240 PSF
RM650,000
Jalan Marlin 1
2,669 sqft · RM243 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Marlin, Sungai. Besar? Homes here sold for a median of RM599,000.

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Market Snapshot

Residential

RM599,000

RM323 psf

Median transaction price

Taman Marlin, Sungai. Besar
© OpenStreetMap · CARTO

Malaysia, Selangor, Sungai Besar, Taman MarlinNo 2Jalan, 45300

Maps

Taman Marlin, Sungai. Besar in Sabak Bernam, Selangor recorded 7 subsale transactions in 2023, with a median price of RM599K and a median price per square foot (PSF) of RM323.

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 RM599K, with most transactions falling within a stable range of RM557K to RM641K, and a typical market range of RM549K to RM650K.

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

The median PSF stands at RM323, with core pricing between RM277 and RM369. Market pricing typically extends from RM303.56 to RM342.56, reflecting moderate variation in unit pricing. With an IQR of RM39.00 and MAD of RM46, the PSF demonstrates reasonable consistency across the market.

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.