Wangsa Heights (Bukit Antarabangsa)

Jalan Wangsa 7, Taman Wangsa Ukay, 68000 Ampang, Selangor, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size · Condo →

Median
RM 180,000
PSF
RM 222
650 sqft
LC Flat
RM 180,000
Level 3
657 sqft · RM 274 PSF
750 sqft
Condo
RM 165,000
Level 5
743 sqft · RM 222 PSF
950 sqft
Condo
RM 180,000
Level 7
950 sqft · RM 189 PSF
RM 180,000
Level 6
950 sqft · RM 189 PSF
RM 172,000
Level 5
946 sqft · RM 182 PSF
1,000 sqft
Condo
RM 205,000
Level 2
1,001 sqft · RM 205 PSF
1,800 sqft
Condo
RM 500,000
Level 10
1,819 sqft · RM 275 PSF
Legend Recent Highest Price Highest PSF
Wangsa Heights (Bukit Antarabangsa)
© OpenStreetMap · CARTO

Jalan Wangsa 7, Taman Wangsa Ukay, 68000 Ampang, Selangor, Malaysia

Maps

Wangsa Heights (Bukit Antarabangsa) in Gombak, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 222.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 180K, with most transactions falling within a stable range of RM 172K to RM 188K, and a typical market range of RM 172K to RM 188K.

Most transactions involved condominium/apartment, though some variety exists in the market.

For price per square foot, the median is RM 222, with most transactions between RM 205 and RM 239. The usual range is RM 192.66 to RM 251.66, showing that most units are priced quite close to each other. With an IQR of RM 59.00 and MAD of RM 17, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.