Residensi Permai

Jln Dana Permai, Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales grouped by size

Median
RM345,000
PSF
RM422
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM320,000
Level 9
818 sqft · RM391 PSF
RM350,000
Level 11
818 sqft · RM428 PSF
RM375,000
Level 13
818 sqft · RM458 PSF
RM345,000
Level 16
818 sqft · RM422 PSF
RM350,000
Level 17
818 sqft · RM428 PSF
RM324,000
Level 4
818 sqft · RM396 PSF
+3 more
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Market Snapshot

Residential

RM345,000

RM422 psf

Median transaction price

Average

Does RESIDENSI PERMAI rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Residensi Permai
© OpenStreetMap · CARTO

Jln Dana Permai, Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Maps

Residensi Permai in Hulu Langat, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM345K and a median price per square foot (PSF) of RM422.

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 RM345K, with most transactions falling within a stable range of RM326K to RM364K, and a typical market range of RM333K to RM358K.

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

For price per square foot, the median is RM422, with most transactions between RM399 and RM445. The usual range is RM406.23 to RM437.23, showing that most units are priced quite close to each other. A typical spread (IQR) of RM31.00 and an average deviation (MAD) of RM23 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.