Lrt Station Damai

Kampung Datuk Keramat, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

11 subsales found

Median
RM441,000
PSF
RM650
Price Size
Period
transactions middle 50% (P25–P75)
RM400,000
Level 10
678 sqft RM590 PSF
RM493,000
Level 31
678 sqft RM727 PSF
RM440,000
Level 11
678 sqft RM649 PSF
RM450,000
Level 26
678 sqft RM664 PSF
RM400,000
Level 25
678 sqft RM590 PSF
RM429,000
Level 15
678 sqft RM633 PSF
RM441,000
Level 28
678 sqft RM650 PSF
RM446,000
Level 33
678 sqft RM658 PSF
RM440,000
Level 27
678 sqft RM649 PSF
RM448,000
Level 37
678 sqft RM661 PSF
RM446,000
Level 33
678 sqft RM658 PSF
Legend Recent Highest Price Highest PSF

Selling in Lrt Station Damai? Homes here sold for a median of RM441,000.

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Residensi Damai Indah
© OpenStreetMap · CARTO

Lrt Station Damai, Kampung Datuk Keramat, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Lrt Station Damai in Kuala Lumpur, Kuala Lumpur recorded 11 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM441K and a median price per square foot (PSF) of RM650.

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 RM441K, with most transactions falling within a stable range of RM417K to RM465K, and a typical market range of RM412K to RM470K.

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

For price per square foot, the median is RM650, with most transactions between RM615 and RM686. The usual range is RM622.82 to RM677.82, showing that most units are priced quite close to each other. With an IQR of RM55.00 and MAD of RM35, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.