Wangsa Ukay (Bukit Antarabangsa)
2, Jalan Wangsa 2, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia
2, Jalan Wangsa 2, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Wangsa 6
|
RM 840,000
|
RM 297
|
2,831 sqft
|
|
|
Jalan Wangsa 6
|
RM 850,000
|
RM 294
|
2,895 sqft
|
|
|
Jalan Wangsa 1
|
RM 1,450,000
|
RM 303
|
4,779 sqft
|
|
|
|
Jalan Wangsa 1
|
RM 1,315,000
|
RM 275
|
4,790 sqft
|
|
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Market Snapshot
ResidentialRM 1,082,500
RM 295 psfMedian transaction price
2, Jalan Wangsa 2, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia
MapsWangsa Ukay (Bukit Antarabangsa) in Gombak, Selangor recorded 4 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 1.08 million and a median price per square foot (PSF) of RM 295.
This area contains both residential and commercial properties. View 19 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.08 million, with most transactions falling within a stable range of RM 840K to RM 1.36 million, and a typical market range of RM 848K to RM 1.32 million.
Within the Double Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 295, with most transactions between RM 284 and RM 306. The usual range is RM 270.52 to RM 319.77, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 49.25 and an average deviation (MAD) of RM 11 indicate a highly stable PSF trend across properties.
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.