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
RM600K
Size
800 sqft

Property Transactions

3 subsales grouped by size

Median
RM530,000
PSF
RM754
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM450,000
Level 28
657 sqft · RM685 PSF
RM530,000
Level 20
657 sqft · RM807 PSF
800 sqft
Serviced Apt
RM609,000
Level 16
807 sqft · RM754 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 RM530K and a median price per square foot (PSF) of RM754.

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 RM530K, with most transactions falling within a stable range of RM465K to RM595K, and a typical market range of RM450K to RM609K.

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

For price per square foot, the median is RM754, with most transactions between RM704 and RM804. The usual range is RM690.38 to RM818.38, showing that most units are priced quite close to each other. With an IQR of RM128.00 and MAD of RM50, 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.