Taman Tun Abdul Razak

68000 Ampang Jaya, Selangor, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Median
RM 700,000
PSF
RM 475
Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
Condo
RM 245,000
Level 6
517 sqft · RM 474 PSF
1,450 sqft
2-Sty Terrace
RM 700,000
Jalan 1/4
1,475 sqft · RM 475 PSF
RM 835,000
Jalan 1/1
1,475 sqft · RM 566 PSF
RM 165,000
Jalan 1/3
1,442 sqft · RM 114 PSF
2,800 sqft
2-Sty Terrace
RM 1,600,000
Jalan 2/2
2,809 sqft · RM 570 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 700,000

RM 475 psf

Median transaction price

Taman Tun Abdul Razak
© OpenStreetMap · CARTO

Taman Tun Abdul Razak, 68000 Ampang Jaya, Selangor, Malaysia

Maps

Taman Tun Abdul Razak in Gombak, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 700K and a median price per square foot (PSF) of RM 475.

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 RM 700K, with most transactions falling within a stable range of RM 186K to RM 1.21 million, and a typical market range of RM 165K to RM 1.24 million.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM 475, though individual units vary from RM 307 to RM 643 in the core range. The broader market spans RM 402.00 to RM 548.00, indicating diverse property characteristics. A wider spread (IQR: RM 146.00) and deviation (MAD: RM 168) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.