Taman Raja Tun Uda
12, Jalan Raja Tun Uda 2, Taman Raja Tun Uda, 43500 Semenyih, Selangor, Malaysia
12, Jalan Raja Tun Uda 2, Taman Raja Tun Uda, 43500 Semenyih, Selangor, Malaysia
| LIST.MY · Taman Raja Tun Uda | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Raja Tun Uda 1
|
RM400,000
|
RM286
|
1,400 sqft
|
|
Terrace |
| 2023 | |||||
|
Jalan Raja Tun Uda 1
|
RM395,000
|
RM282
|
1,400 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Raja Tun Uda 1
|
RM400,000
|
RM286
|
1,400 sqft
|
|
Terrace |
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Taman Raja Tun Uda
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 Semenyih
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12, Jalan Raja Tun Uda 2, Taman Raja Tun Uda, 43500 Semenyih, Selangor, Malaysia
MapsTaman Raja Tun Uda in Hulu Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM400K and a median price per square foot (PSF) of RM286.
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 RM400K, with most transactions falling within a stable range of RM398K to RM400K, and a typical market range of RM398K to RM400K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM286, with most transactions between RM284 and RM287. The usual range is RM273.22 to RM298.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.00 and an average deviation (MAD) of RM2 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.