Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Mewah 2/9
|
RM 538,000
|
RM 414
|
1,300 sqft
|
|
|
|
Jalan Pandan Mewah 2/7
|
RM 498,000
|
RM 383
|
1,300 sqft
|
|
|
Jalan Mewah 3/5
|
RM 1,550,000
|
RM 709
|
2,185 sqft
|
|
|
|
Jalan Mewah 3/5
|
RM 1,670,000
|
RM 764
|
2,185 sqft
|
|
|
|
Jalan Pandan Mewah 3/4
|
RM 1,600,000
|
RM 732
|
2,185 sqft
|
|
Posts about Taman Pandan Mewah
No posts about Taman Pandan Mewah yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
RM 498,000
RM 383 psfMedian transaction price
RM 1,600,000
RM 732 psfMedian transaction price
Taman Pandan Mewah, Ampang, Selangor, Malaysia
MapsTaman Pandan Mewah in Hulu Langat, Selangor recorded 6 subsale transactions in 2022, with a median price of RM 1.04 million and a median price per square foot (PSF) of RM 562.
This area contains both residential and commercial properties. View 3 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 1.04 million, with most transactions falling within a stable range of RM 458K to RM 1.63 million, and a typical market range of RM 959K to RM 1.13 million.
Most transactions involved terraced factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM 562, though individual units vary from RM 376 to RM 748 in the core range. The broader market spans RM 526.36 to RM 596.86, indicating diverse property characteristics. A wider spread (IQR: RM 70.50) and deviation (MAD: RM 186) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.