Bandar Tropicana Aman
Malaysia, Selangor, Telok Panglima Garang, Bandar Rimbayu, Persiaran Tropicana Aman, 8, Jalan Aman dahlia, 42500
Malaysia, Selangor, Telok Panglima Garang, Bandar Rimbayu, Persiaran Tropicana Aman, 8, Jalan Aman dahlia, 42500
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2023 | |||||
|
Level 17
|
RM 604,000
|
RM 605
|
999 sqft
|
|
Condo |
| 2022 | |||||
|
Level 13
|
RM 543,000
|
RM 542
|
1,001 sqft
|
|
Condo |
|
Level 15
|
RM 519,000
|
RM 518
|
1,001 sqft
|
|
Condo |
| 2021 | |||||
|
Level 2
|
RM 581,000
|
RM 580
|
1,001 sqft
|
|
Condo |
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Market Snapshot
ResidentialRM 562,000
RM 561 psfMedian transaction price
Malaysia, Selangor, Telok Panglima Garang, Bandar Rimbayu, Persiaran Tropicana Aman, 8, Jalan Aman dahlia, 42500
MapsBandar Tropicana Aman in Kuala Langat, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM 562K and a median price per square foot (PSF) of RM 561.
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 562K, with most transactions falling within a stable range of RM 529K to RM 595K, and a typical market range of RM 519K to RM 604K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM 561, with most transactions between RM 528 and RM 595. The usual range is RM 513.67 to RM 609.17, showing that most units are priced quite close to each other. With an IQR of RM 95.50 and MAD of RM 33, 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.