Taman Sri Putra Mas

47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

17 subsales grouped by size · 2-Sty Terrace →

Period
transactions middle 50% (P25–P75)
1,550 sqft
2-Sty Terrace
RM 940,000
Jalan Spm 1
1,572 sqft · RM 598 PSF
1,700 sqft
2-Sty Terrace
RM 499,000
Jalan Spm 2
1,722 sqft · RM 290 PSF
RM 560,000
Jalan Spm 5
1,722 sqft · RM 325 PSF
RM 500,000
Jalan Spm 5
1,722 sqft · RM 290 PSF
RM 575,000
Jalan Spm 6
1,722 sqft · RM 334 PSF
RM 480,000
Jalan Spm 5
1,722 sqft · RM 279 PSF
RM 620,000
Jalan Spm 3
1,722 sqft · RM 360 PSF
2,200 sqft
Semi-D
RM 750,000
Jalan Spm 2
2,207 sqft · RM 340 PSF
17
transactions

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Market Snapshot

Residential

RM 550,000

RM 386 psf

Median transaction price

Taman Sri Putra Mas
© OpenStreetMap · CARTO

Taman Sri Putra Mas, 47000 Sungai Buloh, Selangor, Malaysia

Maps

Taman Sri Putra Mas in Gombak, Selangor recorded 17 subsale transactions between 2021 and 2026, with a median price of RM 550K and a median price per square foot (PSF) of RM 319.

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 550K, with most transactions falling within a stable range of RM 500K to RM 600K, and a typical market range of RM 515K to RM 585K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 319, with most transactions between RM 305 and RM 333. The usual range is RM 297.85 to RM 340.85, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 43.00 and an average deviation (MAD) of RM 14 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.