Taman Kaya

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM1,320,000
PSF
RM351
Price Size
Period
transactions middle 50% (P25–P75)
2,200 sqft
Semi-D
RM1,600,000
Jalan Vethavanam
2,185 sqft · RM732 PSF
3,400 sqft
Semi-D
RM900,000
Jalan 3/58A
3,423 sqft · RM263 PSF
3,750 sqft
Semi-D
RM1,320,000
Jalan Khalsa
3,757 sqft · RM351 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM1,320,000

RM351 psf

Median transaction price

Taman Kaya
© OpenStreetMap · CARTO

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Taman Kaya in Kuala Lumpur, Kuala Lumpur recorded 3 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM1.32 million and a median price per square foot (PSF) of RM351.

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 RM1.32 million, with most transactions falling within a stable range of RM1.03 million to RM1.60 million, and a typical market range of RM930K to RM1.60 million.

Within the Double Storey Semi-D category, detached dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM351, though individual units vary from RM148 to RM555 in the core range. The broader market spans RM110.38 to RM592.38, indicating diverse property characteristics. A wider spread (IQR: RM482.00) and deviation (MAD: RM204) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.