Emerald 9 Cheras
Emerald 9, Taman Cuepacs, 43200 Cheras, Selangor, Malaysia
Emerald 9, Taman Cuepacs, 43200 Cheras, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Level 26
|
RM 475,000
|
RM 700
|
678 sqft
|
|
Serviced Apt |
|
Level 11
|
RM 262,000
|
RM 393
|
667 sqft
|
|
Serviced Apt |
|
Level 28
|
RM 460,000
|
RM 689
|
667 sqft
|
|
Serviced Apt |
|
Level 19
|
RM 225,000
|
RM 348
|
646 sqft
|
|
Serviced Apt |
|
Level 11
|
RM 548,000
|
RM 644
|
850 sqft
|
|
Serviced Apt |
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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
Emerald 9, Taman Cuepacs, 43200 Cheras, Selangor, Malaysia
MapsEmerald 9 Cheras in Hulu Langat, Selangor recorded 5 subsale transactions in 2024, with a median price of RM 460K and a median price per square foot (PSF) of RM 644.
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 460K, with most transactions falling within a stable range of RM 333K to RM 548K, and a typical market range of RM 354K to RM 548K.
Most transactions involved serviced apartment, with minimal variety in property types.
Price per square foot shows a median of RM 644, though individual units vary from RM 492 to RM 797 in the core range. The broader market spans RM 496.44 to RM 792.44, indicating diverse property characteristics. The spread of RM 296.00 (IQR) and deviation of RM 152 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.