Taman Angsa Mas

Kampung Tualang, 76100 Durian Tunggal, Malacca, Malaysia

No Transactions Found

We couldn't find any transactions matching your current filters in Taman Angsa Mas.

Adjust Your Filters

Clear All Filters

Posts about Taman Angsa Mas

What’s happening in Taman Angsa Mas?

No posts about Taman Angsa Mas yet. Be the first to share what’s happening here.

Auction Properties

1 auction properties in Taman Angsa Mas

NO.DT 4020, JALAN ANGSA MAS 5, TAMAN ANGSA MAS, 76100, HANG TUAH JAYA , DURIAN TUNGGAL, Melaka
Type Reserve Price Terrace RM 450,000
PSF Size Auction Date RM 158.95 2,831 sqft 29 Jul 2026
Taman Angsa Mas
© OpenStreetMap · CARTO

Taman Angsa Mas, Kampung Tualang, 76100 Durian Tunggal, Malacca, Malaysia

Maps

Taman Angsa Mas in Alor Gajah, Melaka recorded 0 subsale transactions in 2026, with a median price of RM 458K and a median price per square foot (PSF) of RM 259.

This area contains both residential and commercial properties. View 8 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 458K, with most transactions falling within a stable range of RM 326K to RM 590K, and a typical market range of RM 268K to RM 648K.

Most transactions involved town house, with moderate diversity in property types available.

Price per square foot shows a median of RM 259, though individual units vary from RM 189 to RM 329 in the core range. The broader market spans RM 191.00 to RM 327.00, indicating diverse property characteristics. A wider spread (IQR: RM 136.00) and deviation (MAD: RM 70) 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.