| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Pulau Angsa U10/34C
|
RM 989,000
|
RM 557
|
1,776 sqft
|
|
|
|
Jalan Pulau Angsa U10/34
|
RM 989,000
|
RM 557
|
1,776 sqft
|
|
|
|
Jalan Pulau Angsa U10/34
|
RM 989,000
|
RM 557
|
1,776 sqft
|
|
|
|
Jalan Pulau Angsa U10/32G
|
RM 583,000
|
RM 324
|
1,798 sqft
|
|
|
|
Jalan Pulau Angsa U10/32F
|
RM 540,000
|
RM 304
|
1,776 sqft
|
|
|
|
Jalan Pulau Angsa U10/33A
|
RM 650,000
|
RM 364
|
1,787 sqft
|
|
|
|
Jalan Pulau Angsa U10/32H
|
RM 580,000
|
RM 327
|
1,776 sqft
|
|
|
Jalan Pulau Angsa U10/35
|
RM 980,000
|
RM 306
|
3,200 sqft
|
|
|
Jalan Pulau Angsa U10/33F
|
RM 1,200,000
|
RM 300
|
4,000 sqft
|
|
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Market Snapshot
ResidentialRM 980,000
RM 327 psfMedian transaction price
Bandar Nusa Rhu, 40170 Shah Alam, Selangor, Malaysia
MapsBandar Nusa Rhu in Petaling, Selangor recorded 9 subsale transactions in 2024, with a median price of RM 980K and a median price per square foot (PSF) of RM 327.
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 980K, with most transactions falling within a stable range of RM 750K to RM 1.20 million, and a typical market range of RM 930K to RM 1.03 million.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
Price per square foot shows a median of RM 327, though individual units vary from RM 214 to RM 439 in the core range. The broader market spans RM 285.95 to RM 367.20, indicating diverse property characteristics. A wider spread (IQR: RM 81.25) and deviation (MAD: RM 113) indicate significant PSF variations, likely due to diverse property types or conditions.
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.