New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2022 | |||||
|
Jalan Koop 5
|
RM 555,000
|
RM 333
|
1,668 sqft
|
|
2-Sty Terrace |
|
Jalan Koop Cuepacs 4D
|
RM 565,000
|
RM 339
|
1,668 sqft
|
|
2-Sty Terrace |
|
Jalan Koop Cuepacs 2
|
RM 530,000
|
RM 600
|
883 sqft
|
|
2-Sty Terrace |
|
Jalan Koop Cuepacs 2
|
RM 560,000
|
RM 340
|
1,647 sqft
|
|
2-Sty Terrace |
|
Jalan Koop Cuepacs 2C
|
RM 723,000
|
RM 433
|
1,668 sqft
|
|
2-Sty Terrace |
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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 560,000
RM 340 psfMedian transaction price
Taman Cuepacs, Cheras, Selangor, Malaysia
MapsTaman Cuepacs in Hulu Langat, Selangor recorded 5 subsale transactions in 2022, with a median price of RM 560K and a median price per square foot (PSF) of RM 340.
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 560K, with most transactions falling within a stable range of RM 530K to RM 629K, and a typical market range of RM 530K to RM 702K.
Most transactions involved 1 - 1 1/2 storey shop2 - , with moderate diversity in property types available.
Price per square foot shows a median of RM 340, though individual units vary from RM 237 to RM 443 in the core range. The broader market spans RM 292.04 to RM 388.04, indicating diverse property characteristics. A wider spread (IQR: RM 96.00) and deviation (MAD: RM 103) indicate significant PSF variations, likely due to diverse property types or conditions.
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.