Taman Sa

59000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
2,250 sqft
2-Sty Terrace
RM2,100,000
Jalan Menerung 2
2,228 sqft · RM942 PSF
RM2,450,000
Jalan Menerung 4
2,228 sqft · RM1,100 PSF
3,600 sqft
2-Sty Terrace
RM3,600,000
Jalan Menerung 2
3,617 sqft · RM995 PSF
5,900 sqft
2-Sty Terrace
RM4,550,000
Jalan Menerung 2
5,920 sqft · RM769 PSF
6,550 sqft
Bungalow
RM6,300,000
Lorong Buluh Perindu 2
6,566 sqft · RM959 PSF
6,750 sqft
Bungalow
RM5,500,000
Lorong Buluh Perindu 5
6,738 sqft · RM816 PSF
7,300 sqft
Bungalow
RM4,860,000
Lorong Buluh Perindu 4
7,309 sqft · RM665 PSF
Legend Recent Highest Price Highest PSF

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Taman Sa
© OpenStreetMap · CARTO

Taman Sa, 59000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Sa in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions between 2021 and 2026, with a median price of RM4.55 million and a median price per square foot (PSF) of RM942.

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 RM4.55 million, with most transactions falling within a stable range of RM3.60 million to RM5.50 million, and a typical market range of RM3.47 million to RM5.63 million.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM942, with core pricing between RM825 and RM1,059. Market pricing typically extends from RM868.49 to RM1,016.49, reflecting moderate variation in unit pricing. With an IQR of RM148.00 and MAD of RM117, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.