| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Cempaka Harum 9
|
RM 888,000
|
RM 550
|
1,615 sqft
|
|
|
Jalan Cempaka Kuning 1
|
RM 649,000
|
RM 382
|
1,701 sqft
|
|
|
Jalan Cempaka Harum 20
|
RM 920,000
|
RM 258
|
3,563 sqft
|
|
|
Jalan Cempaka Harum 16
|
RM 850,000
|
RM 236
|
3,606 sqft
|
|
|
Jalan Cempaka Wangi 21
|
RM 600,000
|
RM 138
|
4,338 sqft
|
|
Posts about Taman Cempaka
No posts about Taman Cempaka yet. Be the first to share what’s happening here.
Other Areas in Bandar Banting
Promote your property to visitors of this page
Market Snapshot
RM 850,000
RM 258 psfMedian transaction price
RM 815,000
RM 545 psfMedian transaction price
Taman Cempaka, 42700 Banting, Selangor, Malaysia
MapsTaman Cempaka in Kuala Langat, Selangor recorded 5 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 850K and a median price per square foot (PSF) of RM 258.
This area contains both residential and commercial properties. View 48 residential properties or 6 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 850K, with most transactions falling within a stable range of RM 719K to RM 920K, and a typical market range of RM 714K to RM 920K.
Within the Double Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM 258, though individual units vary from RM 117 to RM 400 in the core range. The broader market spans RM 189.35 to RM 327.10, indicating diverse property characteristics. A wider spread (IQR: RM 137.75) and deviation (MAD: RM 142) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.