New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM250,000
|
RM261
|
958 sqft
|
|
|
|
Level 4
|
RM210,000
|
RM219
|
958 sqft
|
|
|
|
Level 3
|
RM220,000
|
RM230
|
958 sqft
|
|
|
|
Level 2
|
RM190,000
|
RM198
|
958 sqft
|
|
|
|
Level 1
|
RM220,000
|
RM230
|
958 sqft
|
|
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Auction Properties
1 auction properties in Taman Bukit Kinrara
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Taman Bukit Kinrara
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Kinrara
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
ResidentialRM220,000
RM230 psfMedian transaction price
Taman Bukit Kinrara, Puchong, Selangor, Malaysia
MapsTaman Bukit Kinrara in Petaling, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM220K and a median price per square foot (PSF) of RM230.
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 RM220K, with most transactions falling within a stable range of RM210K to RM230K, and a typical market range of RM215K to RM225K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM230, with most transactions between RM219 and RM241. The usual range is RM224.15 to RM235.15, showing that most units are priced quite close to each other. A typical spread (IQR) of RM11.00 and an average deviation (MAD) of RM11 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.