Taman Tun Dr Ismail

60000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

2 subsales found

Median
RM3,630,000
PSF
RM547
Price Size
Period
transactions middle 50% (P25–P75)
RM3,060,000
Lorong Abg Hj Openg 4
6,641 sqft RM461 PSF
RM4,200,000
Lengkok Zaaba
6,638 sqft RM633 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Tun Dr Ismail? Homes here sold for a median of RM3,630,000.

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Market Snapshot

RM3,630,000

RM547 psf

Median transaction price

RM5,450,000

RM2,883 psf

Median transaction price

Taman Tun Dr Ismail
© OpenStreetMap · CARTO

Taman Tun Dr Ismail, 60000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Taman Tun Dr Ismail in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 6,625 and 6,674 sqft, with a median price of RM3.63 million and a median price per square foot (PSF) of RM547.

This area contains both residential and commercial properties. View 263 residential properties or 33 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM3.63 million, with most transactions falling within a stable range of RM3.06 million to RM4.20 million, and a typical market range of RM3.06 million to RM4.20 million.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM547, with core pricing between RM461 and RM633. Market pricing typically extends from RM430.50 to RM663.00, reflecting moderate variation in unit pricing. The spread of RM232.50 (IQR) and deviation of RM86 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.