New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| LIST.MY · Taman Cheras Permai | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Level 2
|
RM100,000
|
RM194
|
517 sqft
|
|
LC Flat |
| 2023 | |||||
|
Level G
|
RM118,000
|
RM228
|
517 sqft
|
|
LC Flat |
| 2022 | |||||
|
Level 3
|
RM110,000
|
RM213
|
517 sqft
|
|
LC Flat |
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Taman Cheras Permai
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 Pekan Cheras
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
Market Snapshot
ResidentialRM110,000
RM213 psfMedian transaction price
Taman Cheras Permai, 43200 Cheras, Selangor, Malaysia
MapsTaman Cheras Permai in Hulu Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 475 and 524 sqft, with a median price of RM110K and a median price per square foot (PSF) of RM213.
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 RM110K, with most transactions falling within a stable range of RM103K to RM117K, and a typical market range of RM100K to RM118K.
Most transactions involved low-cost flat, though some variety exists in the market.
For price per square foot, the median is RM213, with most transactions between RM199 and RM227. The usual range is RM199.53 to RM226.28, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.75 and an average deviation (MAD) of RM14 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.