Livia Residences, Dataran C180
Jalan Kasturi, Taman Kasturi, 43200 Cheras, Selangor, Malaysia
Jalan Kasturi, Taman Kasturi, 43200 Cheras, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Level 4
|
RM 360,000
|
RM 423
|
850 sqft
|
|
Serviced Apt |
| 2023 | |||||
|
Level 16
|
RM 370,000
|
RM 434
|
853 sqft
|
|
Serviced Apt |
|
Level 1
|
RM 310,000
|
RM 365
|
850 sqft
|
|
Serviced Apt |
| 2022 | |||||
|
Level 18
|
RM 330,000
|
RM 388
|
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
Jalan Kasturi, Taman Kasturi, 43200 Cheras, Selangor, Malaysia
MapsLivia Residences, Dataran C180 in Hulu Langat, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 825 and 874 sqft, with a median price of RM 345K and a median price per square foot (PSF) of RM 406.
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 345K, with most transactions falling within a stable range of RM 321K to RM 369K, and a typical market range of RM 320K to RM 370K.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM 406, with most transactions between RM 378 and RM 433. The usual range is RM 382.72 to RM 428.72, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 46.00 and an average deviation (MAD) of RM 28 indicate a highly stable PSF trend across properties.
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.