The Elements

Jalan Bemban Ampang, Kampung Berembang, 55000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM 759,500
PSF
RM 668
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Serviced Apt
RM 380,000
Level 34
700 sqft · RM 543 PSF
RM 700,000
Level 7
700 sqft · RM 1,001 PSF
1,050 sqft
Serviced Apt
RM 819,000
Level 14
1,066 sqft · RM 769 PSF
1,150 sqft
Serviced Apt
RM 588,000
Level 41
1,130 sqft · RM 520 PSF
1,400 sqft
Serviced Apt
RM 1,000,000
Level 8
1,421 sqft · RM 704 PSF
1,600 sqft
Serviced Apt
RM 1,000,000
Level 37
1,582 sqft · RM 632 PSF
Legend Recent Highest Price Highest PSF

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Jalan Bemban Ampang, Kampung Berembang, 55000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

The Elements in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions in 2024, with a median price of RM 760K and a median price per square foot (PSF) of RM 668.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 760K, with most transactions falling within a stable range of RM 538K to RM 981K, and a typical market range of RM 496K to RM 1.00 million.

Most transactions involved serviced apartment, with minimal variety in property types.

Price per square foot shows a median of RM 668, though individual units vary from RM 506 to RM 829 in the core range. The broader market spans RM 591.90 to RM 743.90, indicating diverse property characteristics. The spread of RM 152.00 (IQR) and deviation of RM 161 (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.