Taman Sri Putra

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

Property Transactions

4 subsales grouped by size

Median
RM 210,000
PSF
RM 271
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Condo
RM 150,000
Level 2
650 sqft · RM 231 PSF
800 sqft
Condo
RM 245,000
Level 4
786 sqft · RM 312 PSF
RM 250,000
Level 1
786 sqft · RM 318 PSF
RM 175,000
Level 4
786 sqft · RM 223 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 210,000

RM 271 psf

Median transaction price

RM 600,000

RM 461 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 4 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 210K and a median price per square foot (PSF) of RM 271.

This area contains both residential and commercial properties. View 30 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 210K, with most transactions falling within a stable range of RM 167K to RM 250K, and a typical market range of RM 150K to RM 250K.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 271, with core pricing between RM 227 and RM 316. Market pricing typically extends from RM 171.80 to RM 370.80, reflecting moderate variation in unit pricing. The spread of RM 199.00 (IQR) and deviation of RM 44 (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.