288 Residences

Jalan Riangria, Happy Garden, 58200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM565,000
PSF
RM432
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Condo
RM550,000
Level 10
1,216 sqft · RM452 PSF
RM500,000
Level 18
1,216 sqft · RM411 PSF
1,450 sqft
Condo
RM700,000
Level 15
1,442 sqft · RM485 PSF
1,500 sqft
Condo
RM580,000
Level 11
1,485 sqft · RM390 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM565,000

RM432 psf

Median transaction price

Average

Does 288 RESIDENCES rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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288 Residences
© OpenStreetMap · CARTO

288 Residences, Jalan Riangria, Happy Garden, 58200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

288 Residences in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2025, with a median price of RM565K and a median price per square foot (PSF) of RM432.

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 RM565K, with most transactions falling within a stable range of RM500K to RM639K, and a typical market range of RM504K to RM626K.

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

For price per square foot, the median is RM432, with most transactions between RM395 and RM468. The usual range is RM411.38 to RM451.88, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.50 and an average deviation (MAD) of RM37 indicate a highly stable PSF trend across properties.

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.