Taman Sri Rampai

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

4 subsales grouped by size · 2-Sty Terrace →

Median
RM 642,500
PSF
RM 529
Price Size
Period
transactions middle 50% (P25–P75)
1,050 sqft
2-Sty Terrace
RM 540,000
Jalan 82/26
1,033 sqft · RM 523 PSF
1,100 sqft
2-Sty Terrace
RM 600,000
Jalan 11/26
1,119 sqft · RM 536 PSF
RM 780,000
Jalan 86/26
1,087 sqft · RM 717 PSF
1,450 sqft
2-Sty Terrace
RM 685,000
Jalan 5/26
1,442 sqft · RM 475 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 642,500

RM 529 psf

Median transaction price

RM 1,650,000

RM 1,179 psf

Median transaction price

Low

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Taman Sri Rampai
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Sri Rampai in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2025, with a median price of RM 643K and a median price per square foot (PSF) of RM 529.

This area contains both residential and commercial properties. View 77 residential properties or 16 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 643K, with most transactions falling within a stable range of RM 552K to RM 733K, and a typical market range of RM 540K to RM 770K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM 529, with core pricing between RM 437 and RM 621. Market pricing typically extends from RM 435.78 to RM 622.78, reflecting moderate variation in unit pricing. The spread of RM 187.00 (IQR) and deviation of RM 92 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.