Taman Putra Sulaiman

68000 Ampang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM 680,000
PSF
RM 501
Price Size
Period
transactions middle 50% (P25–P75)
1,350 sqft
2-Sty Terrace
RM 630,000
Jalan Putra 5
1,356 sqft · RM 465 PSF
RM 740,000
Jalan Putra 2
1,356 sqft · RM 546 PSF
RM 670,000
Jalan Putra 2
1,356 sqft · RM 494 PSF
RM 680,000
Jalan Putra 2
1,356 sqft · RM 501 PSF
RM 850,000
Jalan Putra 2
1,356 sqft · RM 627 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 680,000

RM 501 psf

Median transaction price

Taman Putra Sulaiman
© OpenStreetMap · CARTO

Taman Putra Sulaiman, 68000 Ampang, Selangor, Malaysia

Maps

Taman Putra Sulaiman in Hulu Langat, Selangor recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 680K and a median price per square foot (PSF) of RM 501.

This area contains both residential and commercial properties. View 56 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 680K, with most transactions falling within a stable range of RM 630K to RM 757K, and a typical market range of RM 635K to RM 725K.

Within the Double Storey Terraced category, condominium/apartment dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 501, with core pricing between RM 445 and RM 558. Market pricing typically extends from RM 455.38 to RM 547.38, reflecting moderate variation in unit pricing. With an IQR of RM 92.00 and MAD of RM 56, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.