Majestic Maxim Cheras
Taman Len Seng, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Taman Len Seng, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 1,292,000
|
RM 511
|
2,530 sqft
|
|
|
|
Level G
|
RM 1,313,000
|
RM 519
|
2,530 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
CommercialRM 1,313,000
RM 519 psfMedian transaction price
Taman Len Seng, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsMajestic Maxim Cheras in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2022, with a median price of RM 1.31 million and a median price per square foot (PSF) of RM 519.
This area contains both residential and commercial properties. View 90 residential properties or 13 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.31 million, with most transactions falling within a stable range of RM 1.29 million to RM 1.44 million, and a typical market range of RM 1.29 million to RM 1.36 million.
Most transactions involved serviced apartment, though some variety exists in the market.
Price per square foot shows a median of RM 519, though individual units vary from RM 347 to RM 692 in the core range. The broader market spans RM 499.07 to RM 539.07, indicating diverse property characteristics. A wider spread (IQR: RM 40.00) and deviation (MAD: RM 173) indicate significant PSF variations, likely due to diverse property types or conditions.
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.