Dataran Pandan Prima

55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

8 subsales grouped by road · Semi-D →

Median
RM 1,512,500
PSF
RM 695
Period
transactions middle 50% (P25–P75)
RM 1,450,000
2,659 sqft
RM 545 PSF · 2-Sty Shop
RM 2,300,000
4,467 sqft
RM 515 PSF · 3-Sty Shop
RM 2,200,000
4,467 sqft
RM 492 PSF · 3-Sty Shop
RM 1,530,000
1,950 sqft
RM 785 PSF
RM 1,495,000
1,950 sqft
RM 767 PSF
RM 1,460,000
2,100 sqft
RM 695 PSF
RM 1,350,000
2,100 sqft
RM 643 PSF
RM 1,530,000
2,100 sqft
RM 729 PSF
Legend Recent Highest Price Highest PSF

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Dataran Pandan Prima, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Dataran Pandan Prima in Hulu Langat, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 1.51 million and a median price per square foot (PSF) of RM 695.

This area contains both residential and commercial properties. View 5 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.51 million, with most transactions falling within a stable range of RM 1.46 million to RM 1.57 million, and a typical market range of RM 1.39 million to RM 1.63 million.

Most transactions involved 2 - 2 1/2 storey semi-detached, with moderate diversity in property types available.

The median PSF stands at RM 695, with core pricing between RM 588 and RM 802. Market pricing typically extends from RM 488.25 to RM 901.75, reflecting moderate variation in unit pricing. The spread of RM 413.50 (IQR) and deviation of RM 107 (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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.