Taman Tun Abdul Razak

68000 Ampang Jaya, Selangor, Malaysia

Property Transactions

7 subsales grouped by size · 2-Sty Terrace →

Median
RM 760,000
PSF
RM 421
Price Size
Period
transactions middle 50% (P25–P75)
550 sqft
Condo
RM 270,000
Level 4
539 sqft · RM 501 PSF
600 sqft
Condo
RM 250,000
Level 7
594 sqft · RM 421 PSF
1,100 sqft
Condo
RM 390,000
Level 3
1,098 sqft · RM 355 PSF
2,050 sqft
2-Sty Terrace
RM 760,000
Jalan 1/3
2,034 sqft · RM 374 PSF
2,350 sqft
Condo
RM 1,600,000
Level 5
2,345 sqft · RM 682 PSF
3,300 sqft
2-Sty Terrace
RM 1,525,000
Jalan 2/2
3,305 sqft · RM 461 PSF
8,400 sqft
Bungalow
RM 2,500,000
Jalan 14/2
8,400 sqft · RM 298 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 760,000

RM 421 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 7 subsale transactions in 2022, with a median price of RM 760K and a median price per square foot (PSF) of RM 421.

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 760K, with most transactions falling within a stable range of RM 250K to RM 1.55 million, and a typical market range of RM 250K to RM 1.30 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 421, though individual units vary from RM 304 to RM 537 in the core range. The broader market spans RM 347.76 to RM 493.76, indicating diverse property characteristics. A wider spread (IQR: RM 146.00) and deviation (MAD: RM 117) 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.