| LIST.MY · Taman Seri Indah, Lawan Kuda | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Seri Indah
|
RM220,000
|
RM134
|
1,647 sqft
|
|
Terrace |
|
Jalan Indah
|
RM150,000
|
RM91
|
1,647 sqft
|
|
Terrace |
| 2023 | |||||
|
Jalan Indah 7
|
RM200,000
|
RM121
|
1,647 sqft
|
|
Terrace |
|
Jalan Indah 7
|
RM200,000
|
RM121
|
1,647 sqft
|
|
Terrace |
|
Jalan Indah
|
RM200,000
|
RM121
|
1,647 sqft
|
|
Terrace |
|
Jalan Indah
|
RM210,000
|
RM128
|
1,647 sqft
|
|
Terrace |
| 2021 | |||||
|
Jalan Indah 7
|
RM185,000
|
RM112
|
1,647 sqft
|
|
Terrace |
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Taman Seri Indah, Lawan Kuda
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 Mukim Teja
Market Snapshot
ResidentialRM200,000
RM121 psfMedian transaction price
Taman Seri Indah, Lawan Kuda in Kampar, Perak recorded 7 subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM121.
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 RM200K, with most transactions falling within a stable range of RM190K to RM210K, and a typical market range of RM194K to RM206K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM121, with most transactions between RM114 and RM128. The usual range is RM117.44 to RM125.44, showing that most units are priced quite close to each other. A typical spread (IQR) of RM8.00 and an average deviation (MAD) of RM7 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.