Teh Wang Sang

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

Property Transactions

3 subsales grouped by size

Median
RM 1,100,000
PSF
RM 542
Price Size
Period
transactions middle 50% (P25–P75)
1,950 sqft
Terrace Factory
RM 1,200,000
Lorong Segambut 1
1,938 sqft · RM 619 PSF
RM 1,050,000
Lorong Segambut 2
1,938 sqft · RM 542 PSF
2,050 sqft
Terrace Factory
RM 1,100,000
Lorong Segambut 2
2,056 sqft · RM 535 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 1,100,000

RM 542 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 3 Terraced Factory properties subsale transactions between 2021 and 2026, with a median price of RM 1.10 million and a median price per square foot (PSF) of RM 542.

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 RM 1.10 million, with most transactions falling within a stable range of RM 1.05 million to RM 1.16 million, and a typical market range of RM 1.05 million to RM 1.20 million.

Within the Terraced Factory category, detached factory/warehouse dominated the market, though some variety exists in the market.

For price per square foot, the median is RM 542, with most transactions between RM 504 and RM 580. The usual range is RM 467.44 to RM 616.44, showing that most units are priced quite close to each other. With an IQR of RM 149.00 and MAD of RM 38, the PSF demonstrates reasonable consistency across the market.

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.