Residensi Rimba Pantai Dalam

Common Ground TTDI Level 11 Menara KEN, 37, Jalan Burhanuddin Helmi, Taman Tun Dr Ismail, 60000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

3 subsales grouped by size · Serviced Apt →

Median
RM 530,000
PSF
RM 754
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM 450,000
Level 28
657 sqft · RM 685 PSF
RM 530,000
Level 20
657 sqft · RM 807 PSF
800 sqft
Serviced Apt
RM 609,000
Level 16
807 sqft · RM 754 PSF
Legend Recent Highest Price Highest PSF

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Residensi Rimba Pantai Dalam
© OpenStreetMap · CARTO

Common Ground TTDI Level 11 Menara KEN, 37, Jalan Burhanuddin Helmi, Taman Tun Dr Ismail, 60000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Rimba Pantai Dalam in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2025, with a median price of RM 530K and a median price per square foot (PSF) of RM 754.

This area contains both residential and commercial properties. View 25 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 530K, with most transactions falling within a stable range of RM 465K to RM 595K, and a typical market range of RM 450K to RM 609K.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM 754, with most transactions between RM 704 and RM 804. The usual range is RM 690.38 to RM 818.38, showing that most units are priced quite close to each other. With an IQR of RM 128.00 and MAD of RM 50, 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.