Suasana Sentral

Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM 1,524,000
PSF
RM 718
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Condo
RM 1,000,000
Level 12
1,421 sqft · RM 704 PSF
1,450 sqft
Condo
RM 1,048,000
Level 10
1,432 sqft · RM 732 PSF
2,800 sqft
Condo
RM 2,100,000
Level 33A
2,799 sqft · RM 750 PSF
2,900 sqft
Condo
RM 2,000,000
Level 29
2,906 sqft · RM 688 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,524,000

RM 718 psf

Median transaction price

Average

Rental Yield Data

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Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Suasana Sentral in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 1.52 million and a median price per square foot (PSF) of RM 718.

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 1.52 million, with most transactions falling within a stable range of RM 1.01 million to RM 2.04 million, and a typical market range of RM 1.28 million to RM 1.77 million.

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

For price per square foot, the median is RM 718, with most transactions between RM 694 and RM 742. The usual range is RM 688.43 to RM 747.43, showing that most units are priced quite close to each other. With an IQR of RM 59.00 and MAD of RM 24, 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.