Pangsapuri Seri Proton
Taman Kandis Permai, 41000 Klang, Selangor, Malaysia
Taman Kandis Permai, 41000 Klang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM175,000
|
RM254
|
689 sqft
|
|
|
|
Level G
|
RM175,000
|
RM254
|
689 sqft
|
|
|
|
Level 3
|
RM180,000
|
RM261
|
689 sqft
|
|
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Pangsapuri Seri Proton
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 Kelang
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
ResidentialRM177,500
RM258 psfMedian transaction price
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Pangsapuri Seri Proton, Taman Kandis Permai, 41000 Klang, Selangor, Malaysia
MapsPangsapuri Seri Proton in Klang, Selangor recorded 4 subsale transactions in 2022, with a median price of RM178K and a median price per square foot (PSF) of RM258.
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 RM178K, with most transactions falling within a stable range of RM175K to RM188K, and a typical market range of RM175K to RM188K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM258, with most transactions between RM254 and RM261. The usual range is RM245.79 to RM269.54, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.75 and an average deviation (MAD) of RM4 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.