Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level LG
|
RM 50,000
|
RM 217
|
230 sqft
|
|
|
|
Level LG
|
RM 50,000
|
RM 208
|
240 sqft
|
|
|
|
Level 1
|
RM 60,000
|
RM 235
|
255 sqft
|
|
|
Jalan Dagang 2/3
|
RM 600,000
|
RM 724
|
829 sqft
|
|
|
|
Jalan Dagang 2/1
|
RM 435,000
|
RM 525
|
829 sqft
|
|
|
|
Jalan Dagang 2/1
|
RM 350,000
|
RM 422
|
829 sqft
|
|
|
Jalan Dagang 1/11
|
RM 550,000
|
RM 501
|
1,098 sqft
|
|
|
|
Jala Dagang 1/2
|
RM 550,000
|
RM 501
|
1,098 sqft
|
|
|
|
Jalan Dagang 1/3
|
RM 650,000
|
RM 592
|
1,098 sqft
|
|
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Market Snapshot
RM 550,000
RM 501 psfMedian transaction price
RM 55,000
RM 213 psfMedian transaction price
Taman Dagang, 68000 Ampang, Selangor, Malaysia
MapsTaman Dagang in Hulu Langat, Selangor recorded 11 subsale transactions in 2022, with a median price of RM 350K and a median price per square foot (PSF) of RM 422.
This area contains both residential and commercial properties. View 46 residential properties or 15 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 350K, with most transactions falling within a stable range of RM 114K to RM 586K, and a typical market range of RM 165K to RM 535K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 422, though individual units vary from RM 249 to RM 596 in the core range. The broader market spans RM 278.29 to RM 566.29, indicating diverse property characteristics. A wider spread (IQR: RM 288.00) and deviation (MAD: RM 173) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.