288 Residences

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

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 600,000
PSF
RM 423
Price Size
1,200 sqft
Condo
RM 600,000
Level 9
1,216 sqft · RM 493 PSF
RM 498,000
Level 14
1,216 sqft · RM 409 PSF
RM 535,000
Level 7
1,216 sqft · RM 440 PSF
1,450 sqft
Condo
RM 610,000
Level 8
1,442 sqft · RM 423 PSF
1,500 sqft
Condo
RM 750,000
Level 4
1,496 sqft · RM 501 PSF
RM 600,000
Level 15
1,485 sqft · RM 404 PSF
2,950 sqft
Condo
RM 1,200,000
Level 23
2,939 sqft · RM 408 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 600,000

RM 423 psf

Median transaction price

Average

Rental Yield Data

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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 7 subsale transactions in 2022, with a median price of RM 600K and a median price per square foot (PSF) of RM 423.

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 600K, with most transactions falling within a stable range of RM 498K to RM 823K, and a typical market range of RM 539K to RM 661K.

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

For price per square foot, the median is RM 423, with most transactions between RM 385 and RM 461. The usual range is RM 402.67 to RM 443.17, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 40.50 and an average deviation (MAD) of RM 38 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.