Pinang Apartment
Taman Sri Sentosa, 58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Taman Sri Sentosa, 58000 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 1
|
RM 273,000
|
RM 295
|
926 sqft
|
|
|
|
Level 1
|
RM 300,000
|
RM 324
|
926 sqft
|
|
|
|
Level 1
|
RM 310,000
|
RM 335
|
926 sqft
|
|
|
|
Level 2
|
RM 318,000
|
RM 344
|
926 sqft
|
|
|
|
Level 4
|
RM 350,000
|
RM 374
|
936 sqft
|
|
|
|
Level 4
|
RM 325,000
|
RM 351
|
926 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
Market Snapshot
ResidentialRM 310,000
RM 335 psfMedian transaction price
Taman Sri Sentosa, 58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsPinang Apartment in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions in 2023, with a median price of RM 310K and a median price per square foot (PSF) of RM 335.
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 310K, with most transactions falling within a stable range of RM 287K to RM 333K, and a typical market range of RM 279K to RM 341K.
Most transactions involved flats, with minimal variety in property types.
For price per square foot, the median is RM 335, with most transactions between RM 310 and RM 360. The usual range is RM 301.51 to RM 368.26, showing that most units are priced quite close to each other. With an IQR of RM 66.75 and MAD of RM 25, the PSF demonstrates reasonable consistency across the market.
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.