The Vyne
Taman Sungai Besi, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Taman Sungai Besi, 57100 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 12
|
RM 499,000
|
RM 602
|
829 sqft
|
|
|
|
Level 18
|
RM 400,000
|
RM 483
|
829 sqft
|
|
|
|
Level 17
|
RM 485,000
|
RM 585
|
829 sqft
|
|
|
Level 19
|
RM 545,000
|
RM 501
|
1,087 sqft
|
|
|
|
Level 19
|
RM 535,000
|
RM 492
|
1,087 sqft
|
|
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Auction Properties
3 auction properties in Residensi Vyne Sungai Besi
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 499,000
RM 501 psfMedian transaction price
Taman Sungai Besi, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsThe Vyne in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 499K and a median price per square foot (PSF) of RM 501.
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 499K, with most transactions falling within a stable range of RM 448K to RM 545K, and a typical market range of RM 411K to RM 545K.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 501, with core pricing between RM 451 and RM 552. Market pricing typically extends from RM 418.81 to RM 583.81, reflecting moderate variation in unit pricing. With an IQR of RM 165.00 and MAD of RM 50, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.