Teh Wang Sang

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

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM7,900,000
13,941 sqft
RM567 PSF
RM9,443,000
16,006 sqft
RM590 PSF
RM8,000,000
14,886 sqft
RM537 PSF
RM1,100,000
2,056 sqft
RM535 PSF
RM1,050,000
1,938 sqft
RM542 PSF
RM9,300,000
14,845 sqft
RM626 PSF
RM5,350,000
10,991 sqft
RM487 PSF
RM1,200,000
1,938 sqft
RM619 PSF
RM11,000,000
22,951 sqft
RM479 PSF
RM6,500,000
13,573 sqft
RM479 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM1,100,000

RM688 psf

Median transaction price

Teh Wang Sang
© OpenStreetMap · CARTO

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

Maps

Teh Wang Sang in Kuala Lumpur, Kuala Lumpur recorded 10 subsale transactions between 2021 and 2026, with a median price of RM7.20 million and a median price per square foot (PSF) of RM542.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM7.20 million, with most transactions falling within a stable range of RM5.03 million to RM9.37 million, and a typical market range of RM3.83 million to RM10.57 million.

Most transactions involved detached factory/warehouse, though some variety exists in the market.

The median PSF stands at RM542, with core pricing between RM457 and RM626. Market pricing typically extends from RM467.44 to RM616.44, reflecting moderate variation in unit pricing. The spread of RM149.00 (IQR) and deviation of RM85 (MAD) suggest moderate price variations reflecting different property features.

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.