Taman Sentosa Villa
30, Jalan Sentosa Villa 1/2, Bandar Kajang, 43000 Kajang, Selangor, Malaysia
30, Jalan Sentosa Villa 1/2, Bandar Kajang, 43000 Kajang, Selangor, Malaysia
| LIST.MY · Taman Sentosa Villa | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Sentosa Villa 1/4
|
RM580,000
|
RM301
|
1,927 sqft
|
|
2-Sty Terrace |
|
Jalan Sentosa Villa 1/2
|
RM650,000
|
RM315
|
2,067 sqft
|
|
2-Sty Terrace |
|
Jalan Sentosa Villa 1/3
|
RM590,000
|
RM306
|
1,927 sqft
|
|
2-Sty Terrace |
Selling in Taman Sentosa Villa? Homes here sold for a median of RM590,000.
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Taman Sentosa Villa
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 Bandar Kajang
30, Jalan Sentosa Villa 1/2, Bandar Kajang, 43000 Kajang, Selangor, Malaysia
MapsTaman Sentosa Villa in Hulu Langat, Selangor recorded 3 subsale transactions in 2024, with a median price of RM590K and a median price per square foot (PSF) of RM306.
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 RM590K, with most transactions falling within a stable range of RM580K to RM621K, and a typical market range of RM580K to RM645K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM306, with most transactions between RM301 and RM312. The usual range is RM299.72 to RM312.72, showing that most units are priced quite close to each other. A typical spread (IQR) of RM13.00 and an average deviation (MAD) of RM6 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.