Taman Sri Putra

Taman Seri Putra 1, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM530,000
Jalan SP 18
1,292 sqft RM410 PSF
RM445,000
Jalan SP 16
1,292 sqft RM345 PSF
RM105,000
Level 2
667 sqft RM157 PSF
RM550,000
Jalan SP 16
1,292 sqft RM426 PSF
RM180,000
Level 3
861 sqft RM209 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Putra? Homes here sold for a median of RM445,000.

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Nearby areas in Bandar Kuang

Taman Sri Putra

17 txns · RM450,000

17RM450,000
RM362

Bandar Kuang

4 txns · RM345,000

4RM345,000
RM166

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Kuang

Market Snapshot

Residential

RM445,000

RM345 psf

Median transaction price

Taman Sri Putra
© OpenStreetMap · CARTO

Taman Sri Putra, Taman Seri Putra 1, 47000 Sungai Buloh, Selangor, Malaysia

Maps

Taman Sri Putra in Gombak, Selangor recorded 5 subsale transactions in 2022, with a median price of RM445K and a median price per square foot (PSF) of RM345.

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 RM445K, with most transactions falling within a stable range of RM261K to RM550K, and a typical market range of RM285K to RM550K.

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

Price per square foot shows a median of RM345, though individual units vary from RM237 to RM452 in the core range. The broader market spans RM273.52 to RM415.52, indicating diverse property characteristics. A wider spread (IQR: RM142.00) and deviation (MAD: RM108) 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.