New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| LIST.MY · Taman Langat Impian | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2026 | |||||
|
Jalan Anjung 2/19
|
RM454,000
|
RM194
|
2,338 sqft
|
|
Semi-D |
| 2023 | |||||
|
Tg Dua Belas
|
RM464,000
|
RM194
|
2,395 sqft
|
|
Semi-D |
|
Jalan Anjung 2/33
|
RM382,000
|
RM271
|
1,408 sqft
|
|
Terrace |
New Launches in Selangor
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Taman Langat Impian
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 Tanjung 12
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
No 16, Jalan Anjung 2/1, Taman Langat Impian, 42700 Banting, Selangor, Malaysia
MapsTaman Langat Impian in Kuala Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM454K and a median price per square foot (PSF) of RM194.
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 RM454K, with most transactions falling within a stable range of RM444K to RM464K, and a typical market range of RM434K to RM464K.
Most transactions involved 2 - 2 1/2 storey terraced2 - 2, though some variety exists in the market.
For price per square foot, the median is RM194, with most transactions between RM194 and RM194. The usual range is RM174.75 to RM213.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM38.50 and an average deviation (MAD) of RM0 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.