Residensi Desa

No.3, Condo, Jalan Riang Ria 8, Taman Gembira, 58200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

16 subsales grouped by size

Median
RM665,000
PSF
RM618
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Serviced Apt
RM580,000
Level 23
1,076 sqft · RM539 PSF
RM590,000
Level 26
1,076 sqft · RM548 PSF
RM570,000
Level 18
1,076 sqft · RM530 PSF
RM569,000
Level 23
1,076 sqft · RM529 PSF
RM575,000
Level 25
1,076 sqft · RM534 PSF
RM720,000
Level 22
1,076 sqft · RM669 PSF
+10 more
Legend Recent Highest Price Highest PSF

Selling in Residensi Desa? Homes here sold for a median of RM665,000.

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Citizen @ Risidensi Nusantra
© OpenStreetMap · CARTO

Residensi Desa, No.3, Condo, Jalan Riang Ria 8, Taman Gembira, 58200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Desa in Kuala Lumpur, Kuala Lumpur recorded 16 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM665K and a median price per square foot (PSF) of RM618.

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 RM665K, with most transactions falling within a stable range of RM591K to RM739K, and a typical market range of RM605K to RM725K.

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

The median PSF stands at RM618, with core pricing between RM549 and RM686. Market pricing typically extends from RM580.31 to RM655.31, reflecting moderate variation in unit pricing. With an IQR of RM75.00 and MAD of RM69, 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.