Taman Pandan Perdana

Pandan Perdana, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Office
RM115,000
Level 4
807 sqft · RM143 PSF
850 sqft
Office
RM190,000
Level 2
839 sqft · RM226 PSF
1,000 sqft
Office
RM330,000
Level 1
984 sqft · RM335 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM280,000

RM321 psf

Median transaction price

RM190,000

RM226 psf

Median transaction price

Taman Pandan Perdana
© OpenStreetMap · CARTO

Pandan Perdana, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Pandan Perdana in Hulu Langat, Selangor recorded 3 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM190K and a median price per square foot (PSF) of RM226.

This area contains both residential and commercial properties. View 215 residential properties or 23 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM190K, with most transactions falling within a stable range of RM115K to RM279K, and a typical market range of RM115K to RM330K.

Within the Office Lot category, condominium/apartment dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM226, though individual units vary from RM148 to RM305 in the core range. The broader market spans RM150.48 to RM302.48, indicating diverse property characteristics. A wider spread (IQR: RM152.00) and deviation (MAD: RM79) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.