Pangsapuri Seri Proton

Taman Kandis Permai, 41000 Klang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales found

Median
RM180,000
PSF
RM261
Price Size
Period
transactions middle 50% (P25–P75)
RM187,000
Level 1
689 sqft RM271 PSF
RM180,000
Level 1
689 sqft RM261 PSF
RM180,000
Level 1
689 sqft RM261 PSF
RM175,000
Level 1
689 sqft RM254 PSF
RM175,000
Level G
689 sqft RM254 PSF
RM180,000
Level 3
689 sqft RM261 PSF
RM195,000
Level G
689 sqft RM283 PSF
RM169,000
Level 1
689 sqft RM245 PSF
RM200,000
Level G
689 sqft RM290 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM180,000

RM261 psf

Median transaction price

Average

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Pangsapuri Seri Proton
© OpenStreetMap · CARTO

Pangsapuri Seri Proton, Taman Kandis Permai, 41000 Klang, Selangor, Malaysia

Maps

Pangsapuri Seri Proton in Klang, Selangor recorded 9 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM180K and a median price per square foot (PSF) of RM261.

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 RM180K, with most transactions falling within a stable range of RM171K to RM189K, and a typical market range of RM170K to RM190K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM261, with most transactions between RM248 and RM275. The usual range is RM249.42 to RM273.17, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.75 and an average deviation (MAD) of RM14 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.