Tropicana Gardens

Tropicana Indah, 47810 Petaling Jaya, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 787,000
PSF
RM 1,127
Price Size
600 sqft
Serviced Apt
RM 849,000
Level 25
603 sqft · RM 1,408 PSF
RM 524,000
Level 25
614 sqft · RM 854 PSF
RM 620,000
Level 24
603 sqft · RM 1,029 PSF
RM 690,000
Level 37
604 sqft · RM 1,143 PSF
RM 725,000
Level 31
605 sqft · RM 1,198 PSF
1,000 sqft
Serviced Apt
RM 1,232,000
Level 29
990 sqft · RM 1,244 PSF
RM 1,100,000
Level 21
990 sqft · RM 1,111 PSF
1,400 sqft
Serviced Apt
RM 1,425,000
Level 37
1,404 sqft · RM 1,015 PSF
8
transactions

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Market Snapshot

Residential

RM 787,000

RM 1,127 psf

Median transaction price

High

Rental Yield Data

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Tropicana Gardens, Tropicana Indah, 47810 Petaling Jaya, Selangor, Malaysia

Maps

Tropicana Gardens in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 787K and a median price per square foot (PSF) of RM 1,127.

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 787K, with most transactions falling within a stable range of RM 524K to RM 1.09 million, and a typical market range of RM 524K to RM 1.10 million.

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

The median PSF stands at RM 1,127, with core pricing between RM 971 and RM 1,283. Market pricing typically extends from RM 1,059.85 to RM 1,193.60, reflecting moderate variation in unit pricing. With an IQR of RM 133.75 and MAD of RM 156, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.