Taman Tun Abdul Razak

68000 Ampang Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM420,000
Level 7
1,421 sqft RM296 PSF
RM535,000
Level 11
1,409 sqft RM380 PSF
RM430,000
Level 1
1,421 sqft RM303 PSF
RM400,000
Level 4
1,421 sqft RM282 PSF
RM500,000
Level 4
1,421 sqft RM352 PSF
RM460,000
Level 5
1,421 sqft RM324 PSF
RM450,000
Level 1
1,421 sqft RM317 PSF
RM440,000
Level 3
1,421 sqft RM310 PSF
RM223,000
Level 1
1,418 sqft RM157 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Tun Abdul Razak? Homes here sold for a median of RM440,000.

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Market Snapshot

Residential

RM440,000

RM310 psf

Median transaction price

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

Maps

Taman Tun Abdul Razak in Gombak, Selangor recorded 9 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM440K and a median price per square foot (PSF) of RM310.

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 RM440K, with most transactions falling within a stable range of RM358K to RM522K, and a typical market range of RM335K to RM535K.

Most transactions involved low-cost houseartment, though some variety exists in the market.

The median PSF stands at RM310, with core pricing between RM251 and RM368. Market pricing typically extends from RM258.31 to RM361.06, reflecting moderate variation in unit pricing. The spread of RM102.75 (IQR) and deviation of RM58 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.