| Price | PSF | Size | Date | Type |
|---|
|
RM240,000
|
RM205
|
1,173 sqft
|
|
|
|
RM185,000
|
RM158
|
1,173 sqft
|
|
|
|
RM190,000
|
RM141
|
1,345 sqft
|
|
|
|
RM170,000
|
RM145
|
1,173 sqft
|
|
|
|
RM180,000
|
RM153
|
1,173 sqft
|
|
|
RM180,000
|
RM153
|
1,173 sqft
|
|
|
|
RM190,000
|
RM162
|
1,170 sqft
|
|
|
RM180,000
|
RM153
|
1,173 sqft
|
|
|
|
RM180,000
|
RM153
|
1,173 sqft
|
|
|
RM220,000
|
RM121
|
1,819 sqft
|
|
|
|
RM120,000
|
RM102
|
1,173 sqft
|
|
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Bandar Baru Sri Klebang
Panorama Lapangan Perdana
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Taman Kinding Flora
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Bandar Baru Lapangan
Taman Klebang Putra
Bandar Seri Botani
Taman Polo Laguna @ Tambun
Taman Desa Lang Indah
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Taman Pertama (Silibin)
Taman Seri Sayang
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 Kinta
Market Snapshot
ResidentialRM180,000
RM153 psfMedian transaction price
Taman Seri Sayang, Kinta, Perak
Taman Seri Sayang in Kinta, Perak recorded 13 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM153.
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 RM170K to RM190K, and a typical market range of RM175K to RM185K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM153, with most transactions between RM144 and RM162. The usual range is RM144.92 to RM161.92, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.00 and an average deviation (MAD) of RM9 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.