Residensi Sungai Purun

31, 43500 Semenyih, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 629,000
PSF
RM 390
Price Size
1,600 sqft
2-Sty Terrace
RM 640,000
Jalan Sungai Purun
1,615 sqft · RM 396 PSF
RM 629,000
Jalan Sungai Purun
1,615 sqft · RM 390 PSF
RM 629,000
Jalan Sungai Purun
1,615 sqft · RM 390 PSF
RM 768,000
Jalan Sungai Purun
1,615 sqft · RM 476 PSF
RM 629,000
Jalan Sungai Purun
1,615 sqft · RM 390 PSF
1,750 sqft
2-Sty Terrace
RM 639,000
Jalan Sungai Purun
1,765 sqft · RM 362 PSF
RM 629,000
Jalan Sungai Purun
1,765 sqft · RM 356 PSF
7
transactions

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Market Snapshot

Residential

RM 629,000

RM 390 psf

Median transaction price

Residensi Sungai Purun
© OpenStreetMap · CARTO

31, 43500 Semenyih, Selangor, Malaysia

Maps

Residensi Sungai Purun in Hulu Langat, Selangor recorded 7 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 629K and a median price per square foot (PSF) of RM 390.

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 RM 629K, with most transactions falling within a stable range of RM 629K to RM 677K, and a typical market range of RM 629K to RM 636K.

Within the Double Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

For price per square foot, the median is RM 390, with most transactions between RM 353 and RM 426. The usual range is RM 383.95 to RM 395.20, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 11.25 and an average deviation (MAD) of RM 36 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.