Kelisa Ria Apartment
Kampung Sungai Tangkas, 43000 Kajang, Selangor, Malaysia
Kampung Sungai Tangkas, 43000 Kajang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM200,000
|
RM305
|
657 sqft
|
|
|
|
Level 2
|
RM160,000
|
RM244
|
657 sqft
|
|
|
|
Level 1
|
RM160,000
|
RM244
|
657 sqft
|
|
|
|
Level 1
|
RM165,000
|
RM251
|
657 sqft
|
|
|
|
Level 5
|
RM145,000
|
RM221
|
657 sqft
|
|
|
|
Level 1
|
RM180,000
|
RM274
|
657 sqft
|
|
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PSF median price per sq ft · 12m its change over the past 12 months
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM155,000
RM236 psfMedian transaction price
Kampung Sungai Tangkas, 43000 Kajang, Selangor, Malaysia
MapsKelisa Ria Apartment in Hulu Langat, Selangor recorded 18 subsale transactions between 2021 and 2026, with a median price of RM155K and a median price per square foot (PSF) of RM244.
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 RM155K, with most transactions falling within a stable range of RM145K to RM165K, and a typical market range of RM148K to RM163K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM244, with most transactions between RM229 and RM259. The usual range is RM232.18 to RM255.18, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.00 and an average deviation (MAD) of RM15 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.