Happy Garden

58200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM1,200,000
PSF
RM619
Price Size
Period
transactions middle 50% (P25–P75)
1,950 sqft
1-Sty Shop
RM1,200,000
Jalan Selesa
1,938 sqft · RM619 PSF
RM1,100,000
Jalan Selesa
1,938 sqft · RM568 PSF
2,800 sqft
1-Sty Shop
RM2,050,000
Jalan Selesa
2,777 sqft · RM738 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM785,000

RM456 psf

Median transaction price

RM1,200,000

RM619 psf

Median transaction price

Low

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Happy Garden
© OpenStreetMap · CARTO

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

Maps

Happy Garden in Kuala Lumpur, Kuala Lumpur recorded 3 Single Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM1.20 million and a median price per square foot (PSF) of RM619.

This area contains both residential and commercial properties. View 158 residential properties or 16 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.20 million, with most transactions falling within a stable range of RM1.10 million to RM1.63 million, and a typical market range of RM1.10 million to RM1.52 million.

Within the Single Storey Shop category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM619, with core pricing between RM548 and RM691. Market pricing typically extends from RM456.60 to RM782.10, reflecting moderate variation in unit pricing. With an IQR of RM325.50 and MAD of RM71, 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.