Sri Angsana Hilir Condominium
A,B & C, Sri Angsana Hilir Condominium, Jalan Hilir 3, Desa Pandan, 55100 Kuala Lumpur, Selangor, Malaysia
A,B & C, Sri Angsana Hilir Condominium, Jalan Hilir 3, Desa Pandan, 55100 Kuala Lumpur, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM 150,000
|
RM 226
|
665 sqft
|
|
|
|
Level 4
|
RM 140,000
|
RM 210
|
667 sqft
|
|
|
|
Level 1
|
RM 180,000
|
RM 271
|
665 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 150,000
RM 226 psfMedian transaction price
A,B & C, Sri Angsana Hilir Condominium, Jalan Hilir 3, Desa Pandan, 55100 Kuala Lumpur, Selangor, Malaysia
MapsSri Angsana Hilir Condominium in Hulu Langat, Selangor recorded 3 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 226.
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 150K, with most transactions falling within a stable range of RM 140K to RM 167K, and a typical market range of RM 140K to RM 174K.
Within the Low-Cost Flat category, low-cost flat dominated the market, though some variety exists in the market.
The median PSF stands at RM 226, with core pricing between RM 200 and RM 251. Market pricing typically extends from RM 209.35 to RM 241.85, reflecting moderate variation in unit pricing. With an IQR of RM 32.50 and MAD of RM 26, 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.