Casa Mutiara Service Apartment
Jalan Hang Isap, Bukit Bintang, 50150 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan Hang Isap, Bukit Bintang, 50150 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 8
|
RM 300,000
|
RM 899
|
334 sqft
|
|
|
|
Level 19
|
RM 258,000
|
RM 773
|
334 sqft
|
|
|
|
Level 16
|
RM 270,000
|
RM 760
|
355 sqft
|
|
|
Level 10
|
RM 365,000
|
RM 869
|
420 sqft
|
|
|
|
Level 11
|
RM 282,000
|
RM 749
|
377 sqft
|
|
|
|
Level 8
|
RM 328,000
|
RM 781
|
420 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Jalan Hang Isap, Bukit Bintang, 50150 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsCasa Mutiara Service Apartment in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions in 2022, with a median price of RM 314K and a median price per square foot (PSF) of RM 776.
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 314K, with most transactions falling within a stable range of RM 277K to RM 351K, and a typical market range of RM 274K to RM 354K.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM 776, with most transactions between RM 719 and RM 832. The usual range is RM 759.63 to RM 791.63, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 32.00 and an average deviation (MAD) of RM 57 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.