| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Patin 4
|
RM320,000
|
RM122
|
2,626 sqft
|
|
|
Jalan Patin 3
|
RM280,000
|
RM70
|
4,004 sqft
|
|
Selling in Taman Desa Patin? Homes here sold for a median of RM300,000.
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Nearby areas in Ulu Yam
Bandar Bukit Beruntung
Taman Desa Kelisa
Bandar Utama Batang Kali
Taman Perindustrian Gelama Hulu Yam Lama
Taman Desa Patin
Taman Sri Kelah
Laman Gapimas
SKC Kampung Timah
Suasana Antara Gapi
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 Ulu Yam
Taman Desa Patin, Hulu Selangor, Selangor
Taman Desa Patin in Hulu Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM122.
Nothing is listed in Taman Desa Patin right now. Browse properties for sale in Ulu Yam and properties for rent in Ulu Yam nearby, then use the 2 sales recorded here to judge whether an asking price is fair.
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 RM300K, with most transactions falling within a stable range of RM280K to RM320K, and a typical market range of RM290K to RM310K.
Most transactions involved detached, with moderate diversity in property types available.
Price per square foot shows a median of RM122, though individual units vary from RM96 to RM148 in the core range. The broader market spans RM109.00 to RM135.00, indicating diverse property characteristics. The spread of RM26.00 (IQR) and deviation of RM26 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.