Vista Tasik Kondo
Laman Tasik Condo, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Laman Tasik Condo, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM 450,000
|
RM 445
|
1,012 sqft
|
|
|
|
Level 2
|
RM 435,000
|
RM 430
|
1,012 sqft
|
|
|
Level 2
|
RM 500,000
|
RM 407
|
1,227 sqft
|
|
|
|
Level G
|
RM 550,000
|
RM 440
|
1,249 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 493,000
RM 430 psfMedian transaction price
Laman Tasik Condo, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsVista Tasik Kondo in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2023, with a median price of RM 493K and a median price per square foot (PSF) of RM 430.
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 493K, with most transactions falling within a stable range of RM 452K to RM 534K, and a typical market range of RM 468K to RM 518K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 430, with most transactions between RM 414 and RM 446. The usual range is RM 394.92 to RM 464.92, showing that most units are priced quite close to each other. With an IQR of RM 70.00 and MAD of RM 16, 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.