Palm Walk @ Bandar Sungai Long

10a, Jalan SL 9/8G, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 710,000
PSF
RM 406
Price Size
1,550 sqft
2-Sty Terrace
RM 550,000
Jalan 9/9A Palm Walk
1,539 sqft · RM 357 PSF
RM 590,000
Jalan Sl 9/9A
1,539 sqft · RM 383 PSF
RM 635,000
Jalan Sl 9/8F
1,539 sqft · RM 413 PSF
1,800 sqft
2-Sty Terrace
RM 700,000
Jalan Sl 9/9F
1,819 sqft · RM 385 PSF
RM 850,000
Jalan Sl 9/8D
1,808 sqft · RM 470 PSF
RM 720,000
Jalan Sl 9/10A
1,798 sqft · RM 401 PSF
RM 750,000
Jalan Sl 9/10B
1,819 sqft · RM 412 PSF
1,950 sqft
2-Sty Terrace
RM 1,300,000
Jalan Sl 9/9F
1,959 sqft · RM 664 PSF
Legend Recent Highest Price Highest PSF

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Palm Walk @ Bandar Sungai Long
© OpenStreetMap · CARTO

10a, Jalan SL 9/8G, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia

Maps

Palm Walk @ Bandar Sungai Long in Hulu Langat, Selangor recorded 8 subsale transactions in 2025, with a median price of RM 710K and a median price per square foot (PSF) of RM 406.

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 710K, with most transactions falling within a stable range of RM 550K to RM 932K, and a typical market range of RM 634K to RM 786K.

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

Price per square foot shows a median of RM 406, though individual units vary from RM 315 to RM 498 in the core range. The broader market spans RM 382.17 to RM 430.67, indicating diverse property characteristics. The spread of RM 48.50 (IQR) and deviation of RM 91 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.