Jalil Sutera
57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Sutera 1
|
RM1,960,000
|
RM660
|
2,971 sqft
|
|
Posts about Jalil Sutera
No posts about Jalil Sutera yet. Be the first to share what’s happening here.
Nearby areas in Mukim Petaling
OUG Parklane
Bandar Baru Sri Petaling
Happy Garden
Overseas Union Garden
Bandar Tasik Selatan
Paraiso @ The Earth
Taman Sri Cendekia (Taman Connaught)
Angkasa Condominium
The Park 2 @ Pavillion Bukit Jalil
Taman Tasik Damai
Taman Alam Damai
Residensi Aster Cheras
Jalil Sutera
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 Mukim Petaling
Promote your property to visitors of this page
Market Snapshot
ResidentialRM1,960,000
RM660 psfMedian transaction price
Jalil Sutera, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsJalil Sutera in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions in 2024, with a median price of RM1.96 million and a median price per square foot (PSF) of RM660.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM660, with most transactions between RM660 and RM660. The usual range is RM488.13 to RM831.38, showing that most units are priced quite close to each other. With an IQR of RM343.25 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
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.